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Paper Citation Record · LEDGER

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution

As of 7 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2605.09942.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.09942 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:14:06.843343Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

  • verified exact9
  • verified fuzzy36
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch39

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb04a7fe-6438-47c2-b418-5cd71e328743 · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T11:39:12.115659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:8f6f88c6c2c2ce03002f2bacd5e4199616ea7d4c8b40b5a603d6c5dab25f721e

Observation 7e2cc693-811d-49fa-bdbf-c3a8ed42e9fb · outbound

This paper cites MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:10:22.017517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:7fd26d01237dad88048424f05d87c7b5ab97ed57bd735704c0e3a8f377b21c5f

Observation a1dc9957-abd2-4f65-aba3-a1d951abb09b · outbound

This paper cites 2010 , url =.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution 2010 , url =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.433381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:e60fd1c98d8813c07c27a349d593ce10f2ba95e2a7f93bcd65b955c8abdf54ca

Observation 806b4ec4-b894-4df3-b0bd-358f47d31843 · outbound

This paper cites MIRIX: Multi-Agent Memory System for LLM-Based Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution MIRIX: Multi-Agent Memory System for LLM-Based Agents

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:57:52.839654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:90096a0874e753bfbca406e824c186c126b01b7bef5a0a3c12d5b291e39f002c

Observation 38542a8e-a68f-4dd7-9d14-f8d136498738 · outbound

This paper cites A-MEM: Agentic Memory for LLM Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution A-MEM: Agentic Memory for LLM Agents

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.348742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:a405004eabb21b40a4c4ca28c3e069608675cac3e78df5c5951eb723681fcdf5

Observation fbfb8e22-045a-46dc-976c-10ddc24de2fa · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.111351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:efb84a8322880f9cf5be26f39143e652b4b423ad7e243be6896d23060583a02a

Observation 13c26b76-3666-46e6-88db-be61f35c3679 · outbound

This paper cites What Deserves Memory: Adaptive Memory Distillation for LLM Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution What Deserves Memory: Adaptive Memory Distillation for LLM Agents

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.264539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:3b3d8d14c5c9c8c036ac6137c9c1390f92de19b015066cf6dbeaffc4e4b13937

Observation 5c33f8c2-1530-4909-9125-6ddfed3e8e15 · outbound

This paper cites MemOS: A Memory OS for AI System.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution MemOS: A Memory OS for AI System

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:20:23.101348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:9c8ae135999296e355075ae40affcde58b3b96e99ee40c37c71fb6a78f163ae8

Observation 1410664b-22a8-41c6-8396-6ca559d85fb7 · outbound

This paper cites Zep: A Temporal Knowledge Graph Architecture for Agent Memory.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Zep: A Temporal Knowledge Graph Architecture for Agent Memory

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.256795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:9efee1bf01bf8da2ce1f64992b1c5bef921017c20ba58156db88119e121a1ddb

Observation a87e2e86-de72-42a4-af05-46cf5f7a42d7 · outbound

This paper cites Memory OS of AI Agent.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Memory OS of AI Agent

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:24.953345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b7259189f463159bf95c50db476678384bac70c55164c1e2af6368552534e416

Observation d76951cf-cf38-4d1f-b719-9d1acbf90a73 · outbound

This paper cites 2024 IEEE International Conference on Knowledge Graph (ICKG) , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution 2024 IEEE International Conference on Knowledge Graph (ICKG) , pages=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.457945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:3fa993588ddc77904ab90ba4473193e58d5f2186e11b49bc0f16b8e70cd1a5b0

Observation 72864d32-8de9-4662-94ce-5c29e2c46618 · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:05:17.171076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:2e559eac82a44433ec558653cba5452845d4aa0bf1ffec4c775a19ffd57ccdd7

Observation 84f9994d-87cb-4011-9536-0f0fb13988e8 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.189670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:506797a210792052a9231ac4c9f176f4340f1bd5abe6c2d33c03c0a3b8c1f065

Observation 91ecad9c-240f-40a6-9db5-ea8fe157990f · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in Neural Information Processing Systems , volume=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.431284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:080cf73a37767e43f6a2c09bb59a91cd143ea94107e0fca44eef1fd7585b3ecf

Observation fe86465c-1607-4143-98b4-5dd7ce0622a7 · outbound

This paper cites LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.169170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:6606e1eb9d1ec42c59526bcda963178bcd6abd694bc7b142ed45c25f9044bbfa

Observation 17da48d7-62a9-481e-9c6f-745228252e9e · outbound

This paper cites 2024 2nd International Conference on Foundation and Large Language Models (FLLM) , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution 2024 2nd International Conference on Foundation and Large Language Models (FLLM) , year=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.440429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:5e65c987e2f838d7b9b1e05f7800b658b629b7aa0eb58b6dadab955f933ebe47

Observation c82f4f8f-bd55-432b-b5d3-e632c8593543 · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:25.229363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b5d2163a92cae30730adb165244cae24c01e9e2179f46e8c862de3cc6bb663f3

Observation d57ae3d8-a6e1-43b6-a9c9-e5681c9b06d7 · outbound

This paper cites arXiv preprint arXiv:2602.13594 , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution arXiv preprint arXiv:2602.13594 , year=

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:25.045787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:76149fc515354f8b6e66709eccba44262c3af6a75f8c0fe1d8eaa0ee6e099842

Observation c41e1922-eb97-4826-8c51-b6eb4448afaf · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.444369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:6799f5d3c7346af315da4b2b861c1ac81bee23151afa5b0d4b177b96c430945d

Observation aad73806-a145-4e4c-acb9-f5d7ef5c48e3 · outbound

This paper cites ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:25.210349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b66c95402c4d4fcab08e1fa28c2ad49905311b27df2ea190a110a7037b21afaa

Observation ff9487d5-dc9e-4814-800b-6c4a365e2097 · outbound

This paper cites Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:24.895083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:dceb90814c6da1bea1352ffb0b82ee90b2db26c1f27dd8eb3f8da4b1ea47016c

Observation 71ec9ef6-190d-44e3-b14a-00d0422aed28 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in Neural Information Processing Systems , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.454199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:8bb4e4b90ef12cff45757503ddeba3abe9a44f4b38751d37642d08632ff2daed

Observation 6293966f-d5c7-4f52-899e-db15f7511d04 · outbound

This paper cites 2024 , eprint=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution 2024 , eprint=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.467185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:c9608a1a9b39a89d1671681c92acede5c653574acfc995e750b75577a60606ba

Observation f3c3d7b5-1244-4ff5-8f38-89c8f51f7460 · outbound

This paper cites SCM: Enhancing Large Language Model with Self-Controlled Memory Framework.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution SCM: Enhancing Large Language Model with Self-Controlled Memory Framework

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:25.038684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:42dadbcb774404289b2ee3cd81ba2d1b70a4a05c95a40fc758e30c715441f7d1

Observation 4cbf4e45-f98d-40b9-8a43-c0c19f87befa · outbound

This paper cites Proceedings of the 36th annual acm symposium on user interface software and technology , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the 36th annual acm symposium on user interface software and technology , pages=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.425442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:7c3758b57fecd280cb536bf6a82eda8db1a3abb822d88c523ea58e1e480b1ea2

Observation 3b5d5722-9fc3-4930-bef5-3aed48719c83 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:24.912272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:52454181709b8dd02548a57700728dc20b484f293320e12810db0774c8c3bfb4

Observation fa616dcb-e335-422a-af3c-e72448e321f6 · outbound

This paper cites GPT-4 Technical Report.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution GPT-4 Technical Report

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:24.994748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:3f4d511119f7bc71fe9362b3e514f5c794005b454e02f9d1511a027eddb51d80

Observation d55fc6ba-d0cb-463c-a6da-379b21000036 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Transactions of the Association for Computational Linguistics , volume=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.456131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:d3a90d3d95c298f0f4ee4c462dcfdfad4c0c2a1b87224d1d4153d5326cb263e5

Observation 04b4dd5b-8652-4c13-82b5-729fff491708 · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.459697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:e705e48d73382e0a5c6fa2b02f7ced2db6146effef3a215fcf6c3edb08cc264d

Observation 6348fad6-3963-4c3c-97a8-23aad8986701 · outbound

This paper cites ACM Computing Surveys , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution ACM Computing Surveys , year=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.419667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:103e3db501ec1b44a8530b86a4a35ac1783442a50732044067dc62ec9e0a8057

Observation debcd593-9f5a-4a49-9b25-021af5668690 · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.408174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:a7847ee612e21e96b42f52a3eccf5ad42c47f6bee4222bcc4e72c04bf793859e

Observation 0358d7e7-2a4d-4123-b6a2-360558e66a0d · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.469355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:ab87b01f7f298d2835f83aadcad21ad28705dc9f0e29afdd5a2bae3455cd3d61

Observation 578cb982-0110-4444-b4da-11d228e7cf2e · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.475773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:4603f2e77d17422a1ac6772a81c204398e500c474203e8cd7e3c3eefacf36c91

Observation 2c5b3524-916d-42ba-97af-100293aae8ec · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.411275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:64a413d9f77c53c6c9ec357e56c1f8099f7f0a629d8f4f39ccb36edac756cbf6

Observation 317e205e-f19e-4179-a59c-548638100d66 · outbound

This paper cites Longformer: The Long-Document Transformer.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Longformer: The Long-Document Transformer

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.134346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:c763315a8ec99d95fa772605e2ebc1fbb08feb054b539cc8feb99b8590b8e850

Observation 8b5c3291-2ab4-4485-baaa-0701f23d958a · outbound

This paper cites Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:45:56.775130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:4abd2dc799e60a9a38aa379f215db93f43d35a35c3038fd92e19c0d2a918dc47

Observation b17f61ef-7f7c-4db4-b50d-a6e237a8449e · outbound

This paper cites Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.423632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:94debf5cef39d268314df07cba1a05d6c57c784651355e8de35ce721944b30f2

Observation b27b77f9-667b-4582-a545-b4022b2925a1 · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:01:23.440331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:494142fdc6e0a21431f4667c2c534804988b4ac3cb6c71f2c903ab703a44b78c

Observation d9e536fc-f059-4f22-b9f5-3e4dff49094b · outbound

This paper cites Trends in cognitive sciences , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Trends in cognitive sciences , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.479900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:777b27bc462cfeca1642171d34d82ab155ae52b945ccc4dbf92f9085ccde7757

Observation 5acf77ae-42c4-4c6b-a4b2-465c1313d869 · outbound

This paper cites A., and Buettcher, Stefan.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution A., and Buettcher, Stefan

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:16:20.096853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:56b13bd34494efd3ddc4ee8286728ee70854e0597d6d030daa685d337a4df403

Observation 366180a4-662b-42d4-9a4f-6c40b1e697ef · outbound

This paper cites IEEE Access , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution IEEE Access , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.465230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:821ecbab1481dacd47ae04892a7ec80c6c4034abcbaeacab1bfd005695915188

Observation 804b1712-f544-4aa2-a515-780c4d1ca7e2 · outbound

This paper cites LM2: Large Memory Models.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution LM2: Large Memory Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:25.151341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:254b3107dfd16ca4520ec9c932dabaa999f5bf2f643014caf0704b4dfb50519d

Observation d7e30a81-207a-481c-a5ff-3780ee580ef0 · outbound

This paper cites Proceedings of the ACM on Web Conference 2025 , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the ACM on Web Conference 2025 , pages=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.461745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:481919ce5d96449700cf57dde741dc1ea18f04bfabbcbaf27dbff487f9b7f03e

Observation 3e4830d9-636a-4939-b589-fc0648f820b5 · outbound

This paper cites Proceedings of the 52nd Annual International Symposium on Computer Architecture , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the 52nd Annual International Symposium on Computer Architecture , pages=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.415801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:05d869bb0874e15717ec1eb1fb26d2e8a7b27f161896e2f314ada2a9db99d46f

Observation 287c0ff2-b7f5-42cf-977a-8fc772f7ecb9 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.413432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:8b5afc2d47924ded948cc78721598bbeb56954273d45949d2d9d3d3b0b8ab847

Observation 75c160fc-0090-44c6-a53d-bfb345205f02 · outbound

This paper cites LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:24.973046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:1947042d7b5e5de868095665c5686dd5649d244f82f4b29b4db33ea440e1c12a

Observation 9b351401-210f-4681-ad06-fbca679b63cb · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T01:36:19.859440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:9baa58a999151603265aa7b2e9cfef38c55ff0a9661b8ff4379dcfeca20bc064

Observation bec5921d-f1cb-456e-a0e3-4181ee169fc6 · outbound

This paper cites arXiv preprint arXiv:2511.02919 , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution arXiv preprint arXiv:2511.02919 , year=

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:25.059224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:33167b1726d8ad4f4b4a717465c7a6bd2b0b0efeba59c9fe7743d51a883ce0c8

Observation 7e09a8c9-fd74-4fa1-bda1-bf4b0c850ae8 · outbound

This paper cites Transactions on Machine Learning Research , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Transactions on Machine Learning Research , year=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.463496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:08d097f2befa848e13c11f5e480a2fdbdbbfec4d0bc633fc09d9a711c1d3ac5e

Observation 8f2cf41f-9534-4a0e-bd54-b339ecbd4208 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in Neural Information Processing Systems , volume=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.471358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:6fc4e6b7ba46b94920aae918c28b6ad3dc636657d8aee5cf912ed95de3d12efa

Observation 33006792-fe4b-4051-8e87-98fcc4217c4c · outbound

This paper cites ACM Computing Surveys , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution ACM Computing Surveys , volume=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.417739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:00366e21551b4fffe069c446601e57a3754f864bf8cc4760347bd07a5a7fc4b9

Observation 149712ea-416e-45be-a2fa-02287cb44b11 · outbound

This paper cites IEEE Transactions on Big Data , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution IEEE Transactions on Big Data , volume=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.448286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:755e651e1ed03f0c86361cdd9e1b68873076fb2576aedfb328cc1264486425ad

Observation c8be42ca-14d2-47e4-8f8c-8c7fcb6c05f5 · outbound

This paper cites Sequence-to-Sequence Learning as Beam-Search Optimization.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Sequence-to-Sequence Learning as Beam-Search Optimization

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:25.002995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:256ef524773b5287a3d72d2a9315567892e0e691afa0147e2ad6489fa68abe5b

Observation 09ebee9f-3740-4bce-9d20-74bc9b2ae5d4 · outbound

This paper cites doi:10.3115/1073083.1073135 , editor =.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution doi:10.3115/1073083.1073135 , editor =

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T04:16:20.100823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:a2eb72082bca8f09b1d1da49913f7180cacb2f995bdef3f164889361f83b275b

Observation 8ac4c4e8-c1ca-42e4-a223-0dc3483619fb · outbound

This paper cites Computational Linguistics , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Computational Linguistics , pages=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.438762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:da8eec65cc4f25ee170f113e93f607efbf872dc16436dee3b17bac57bae9bea0

Observation 3d18599c-b387-4b0d-9669-c139f7942331 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution The Twelfth International Conference on Learning Representations , year=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.477724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:599fa5a4b0b6eb5e8bfc398a30a03d97ba304342d9efbd5488cba833c35159e6

Observation c4ec2028-d706-4ef7-8379-eaad428aa570 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution AgentBench: Evaluating LLMs as Agents

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.022326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:a56c4586c16bea136563bc4a94177aa1bb9124990b3c9a105d5a8b1d99f518d9

Observation 8f3cba2b-924b-4493-967e-bd0b0838cb65 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.442558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:92a131a242e7db8c1754a5157b2355350cf44c92f5789ec993b3c21ec1241926

Observation 245bee60-766f-4d8f-9a0c-49f590e02801 · outbound

This paper cites Proceedings of the conference.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the conference

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.436961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:410c0b1d735537d576d041aab7548e78daed8651eb21926166cf8774476bf725

Observation 9bb81c77-f2c0-4508-aa51-a92f69292a54 · outbound

This paper cites Science China Information Sciences , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Science China Information Sciences , volume=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.435239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:8840e2c0fdf09cf3952802f8f4488abc3bcb860558554d57f7f377f66fc59a20

Observation 4d36cd21-79a1-4305-a2cc-7eecdcdff4ec · outbound

This paper cites Memory in the Age of AI Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Memory in the Age of AI Agents

Reference 62

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.087236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:9995a2a2a0ea55aecf41f3b8a96c73a76df2ad9094198f3f8d04b342d785a926

Observation be88f7f9-ad19-4b60-88a0-3aa317bd7b55 · outbound

This paper cites Proceedings of the 2018 conference on empirical methods in natural language processing , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the 2018 conference on empirical methods in natural language processing , pages=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.446506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:d2e886ebc9acb8763f27e716f097d8edf8b2b5841d9b41265341c77f72b36c2e

Observation 3a7b1f97-5907-4a57-b15e-e0f6f4d0aea3 · outbound

This paper cites MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

Reference 64

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.079760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:c3752f162859b9dccae36a6a9dca7e619f0a9bf2718ee667726bffe0f5657cd8

Observation ad25c856-c7cc-40be-8370-52579f9bd5af · outbound

This paper cites International conference on machine learning , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution International conference on machine learning , pages=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.451954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:fd70dc3ecd7f499955c2208a1715a74abad8a2a2b37e2c2ad80b32f46ac51437

Observation 763b25b1-2240-451a-9173-33533194c8ad · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.450206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:db27131d1b0cfa3f43cad78f2d09b17759dd5ffc25f95a334277142722813c0e

Observation 71d8603a-494e-4a09-8b53-cc7f87598500 · outbound

This paper cites Proximal Policy Optimization Algorithms.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proximal Policy Optimization Algorithms

Reference 67

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.183215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:563c8abf9b145ed4da6ad7a25da6def499ab7c8486580e1f26b468d5ca50b4c6

Observation d347a350-32ed-4813-b9b4-13b57135d4b2 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:24.935535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:4fb1316eabe3a052ede08fa1d2b8608415d4cbf92f77f019687ffb18187c9746

Observation 020673cf-e19f-4516-898d-d9e9030720b4 · outbound

This paper cites an unresolved cited work.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-05-12T16:01:40.421437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:97ef00d5b719a091bb5b33888449c7ac44e317dc1b954280f45bcad3fe4210c3

Observation 54dbd6f1-0ad1-4dc3-8869-72e1eabbcbbf · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Adam: A Method for Stochastic Optimization

Reference 70

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.015534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:137ae9b8735786f0019d2a2537271256c0c75e594e967489702225d2d88593ae

Observation eb59a549-47fd-4ada-b2ba-7308ea5d8424 · outbound

This paper cites GPT-4o System Card.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution GPT-4o System Card

Reference 71

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:24.906177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:f395938c4e09c4d162d951214ea5c84e1081da1260f184b69642048c7e290b51

Observation d5412e45-8d29-4ed2-816e-ec6b4d305e00 · outbound

This paper cites Qwen3 Technical Report.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Qwen3 Technical Report

Reference 72

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.093935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:816c027b3759d7e5e03f25b34969f9ee4d9919a525d1d3b2d5f5d6ca2a80eef2

Observation 52509b81-f37b-4dd2-8d93-e69246f11c72 · outbound

This paper cites AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:25.195389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:65c81765b70a7a041df6496ea9ecfe9688e164be9a7fd1286a5f7a1309cd8af7

Observation bcb37124-180b-4a20-b10e-7bd1eb6f2c5d · outbound

This paper cites General agentic memory via deep research.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution General agentic memory via deep research

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:24.943436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:a13067f5e06239b7ab29272a85b0c00f6095f055701193e6aed09181a5f8f712

Observation 261df7a3-cdc5-491e-bc22-16d004e32b4e · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.429381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:8c95a10a578302a4dc71a60acd65769f4ca8b21301cc40b03b59529d691488d8

Observation 8796a957-bedf-47b0-8393-5bff860e4d1b · outbound

This paper cites GAM: Hierarchical Graph-based Agentic Memory for LLM Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution GAM: Hierarchical Graph-based Agentic Memory for LLM Agents

Reference 76

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:24.961550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b530b198c071f89ce16c0535d1bedcb0b5407aa6ea33388a471e156c45aa0a24

Observation b5644b4e-960a-4508-b200-3e3fcf022c48 · outbound

This paper cites Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents

Reference 77

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.010214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:bcabf379af901b32ed4859d372edbf908481b42a8ad5b6fe62f3c298e9fec5b1

Observation 4242efd6-9d52-44af-a003-be4bf851f21a · outbound

This paper cites How to reconstruct (anonymously) a secret cellular automaton.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution How to reconstruct (anonymously) a secret cellular automaton

Reference 78

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.238879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:51a821e5e4104e6a7c3b810ee3f24f44394c0c2055d4c647def13b0a8984ebd5

Observation 73b3a168-f404-44ee-8e0e-f6088894a29d · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution ReAct: Synergizing Reasoning and Acting in Language Models

Reference 79

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:31:25.031788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b21d38e6994e27865c99503f5d93e915db18954bb8cda235a56fb8186d1704aa

Observation 29bad06e-87ff-43d2-9bb6-0c1e868eb75c · outbound

This paper cites Advances in neural information processing systems , volume=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Advances in neural information processing systems , volume=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.427393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:3118abccd4d7a10028855da3ed95d363e5b27f562f387224ae5056db2b39aa99

Observation 33dc1bb4-89f2-445b-9353-0f263ff8d72b · outbound

This paper cites arXiv preprint arXiv:2512.09487 , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution arXiv preprint arXiv:2512.09487 , year=

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:25.223885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b20824b4c63cdf6eb57f18cac570a0888e68e8a8fb848d9e7e40819f74bac574

Observation fa5ba8c8-9262-460a-aa96-48604bb04b6a · outbound

This paper cites Proceedings of the ACM Web Conference 2026 , pages=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Proceedings of the ACM Web Conference 2026 , pages=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T16:01:40.473264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:c647d762d58b0303c3a76b23aca7a01a64888b9946b20d0fdd91b8ec30581b58

Observation efa9c417-4ca0-4ce7-bedd-a44b63d0388a · outbound

This paper cites arXiv preprint arXiv:2601.09113 , year=.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution arXiv preprint arXiv:2601.09113 , year=

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:25.074142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:bafaf3da84f57b2b8c61676ba26a47db7f3dd67cce0bf7cae742e9642743197d

Observation c379514d-2d35-47b9-9ce5-886204df19fe · outbound

This paper cites Toward Efficient Agents: Memory, Tool learning, and Planning.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Toward Efficient Agents: Memory, Tool learning, and Planning

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-07-07T02:16:02.482997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:e49a0b4086dd8869ccbc2be543c1b48c52a4f643489e4f483178c9b5249da7af

Observation 41f19bed-70a6-448b-a4dc-c7dcf8afd30e · outbound

This paper cites Graph-based agent memory: Taxonomy, techniques, and applications.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Graph-based agent memory: Taxonomy, techniques, and applications

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:31:24.927103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:82f220cb1ecf4dd92cf438e1a098e0a5a33d6984e8d09121d086e524478476f7

Observation ea05c4fd-1d61-4fcb-8419-f0461d17ba32 · outbound

This paper cites Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations.

HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T02:04:11.502809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T04:14:06.843343Z digest=sha256:b2bb199ce9bb9828f36091645600e329711c749849003f8d63dab44b6cda1deb

Pith citing papers

No inbound Pith citation observations are available.