Paper Citation Record · LEDGER

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 27 inbound Pith citation observations for arXiv:2510.17281.

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

pith.paper-citation-record.v1
2510.17281 v7

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:08:01.244788Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:27:32.610040Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T00:19:13.724792Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3ab0e553-cd81-4e74-9161-0297794beb04 · outbound

This paper cites If the informa- tion in the dialog history is insufficient to answer the question, you must admit that you don’t know the answer.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems If the informa- tion in the dialog history is insufficient to answer the question, you must admit that you don’t know the answer

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.514593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e2fc16-6b21-4907-84ab-fc2e4acdcc36 · outbound

This paper cites real” ideas in the target paper under various quality metrics. The primary metric is the “Insight Score,.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems real” ideas in the target paper under various quality metrics. The primary metric is the “Insight Score,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.617573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7269188d-64fd-49db-993d-448bbc843fbb · outbound

This paper cites - 1: Represents extremely poor quality (e.g., completely irrelevant, factually incorrect, non- sensical).

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems - 1: Represents extremely poor quality (e.g., completely irrelevant, factually incorrect, non- sensical)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.894635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61a0d9e-936c-4fd1-a541-dfb43f5ca8dd · outbound

This paper cites Scores range from 0.00 to 1.00.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Scores range from 0.00 to 1.00

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-04T09:08:00.300405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05a24e4-61e9-4e65-807b-2a9060382a20 · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.707160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d5e4796-d136-446a-a46c-93cb8fb07fa7 · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.808285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776d9a2f-c01f-4bab-a381-0f11a9a9bdef · outbound

This paper cites Scores range from 0.00 (no similarity) to 1.00 (perfect semantic match).

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Scores range from 0.00 (no similarity) to 1.00 (perfect semantic match)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.023535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 418f9f05-fa4b-41e6-8f8d-b7cea85b41b3 · outbound

This paper cites Scores range from 1 (minimal overlap) to 10 (perfect overlap).

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Scores range from 1 (minimal overlap) to 10 (perfect overlap)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.107843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba3e9e2-b4d5-45f3-aeee-58be5bd73345 · outbound

This paper cites This score is derived by ranking the generated idea(s) against the ground truth idea.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems This score is derived by ranking the generated idea(s) against the ground truth idea

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.206045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ccd316e-82ed-49b4-87bc-0748074fe99d · outbound

This paper cites CRITICAL: Focus on the initial request as the core topic that should be the primary focus throughout this entire conversation.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems CRITICAL: Focus on the initial request as the core topic that should be the primary focus throughout this entire conversation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.541394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d449fa-550f-44ad-889a-186f564099bb · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.613993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af6a424f-ad9c-4c8c-8984-762f4af88499 · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.678337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece8b3f7-f331-4b2d-b2ed-dc8d46760a65 · outbound

This paper cites Total” denotes the full size of each dataset, while “Samples.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Total” denotes the full size of each dataset, while “Samples

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.733032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8afffa1-e982-484e-84f4-d9bf5e42c5d9 · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.793545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91af7cb9-3f44-4355-bb62-079f8502474f · outbound

This paper cites (b) Incorporate these 100 training dialogues into the memory of LLMsys, so that it accu- mulates more experience.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems (b) Incorporate these 100 training dialogues into the memory of LLMsys, so that it accu- mulates more experience

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.892827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d997c0c-a09d-4634-baaa-e20f46d91071 · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:00.990195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8bd273-0e6f-4eae-9976-eb45d2e451d6 · outbound

This paper cites an unresolved cited work.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:01.094498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf3ba51-ee92-4054-9a64-3178264ba27c · outbound

This paper cites Speaker”, “Assistant.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Speaker”, “Assistant

Reference 23

Resolution: malformed identifier; no resolver link, observed 2026-08-04T09:08:01.172466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a617d5-788c-45cb-b9bb-c5e37a4e66fe · outbound

This paper cites Analyzed a case involving a judge (Wang) accused of bribery and malfea- sance to determine if there were ju- risdictional errors.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Analyzed a case involving a judge (Wang) accused of bribery and malfea- sance to determine if there were ju- risdictional errors

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:01.244788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fb321e7-b7f9-4cd8-b9f5-b1aeac79b8db · outbound

This paper cites URLhttps://aclanthology.org/ W05-0909/.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems URLhttps://aclanthology.org/ W05-0909/

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.232300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9866618a-8e7d-4905-a58d-5bb6e88a0406 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.456340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eecf06e1-6d16-4e1f-a80c-9b0c3d1587a9 · outbound

This paper cites HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T09:07:59.384379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9596df84-ce6e-417e-b647-557d28bf7026 · inbound

Improve Large Language Model Systems with User Logs cites this paper.

Improve Large Language Model Systems with User Logs MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-21T14:34:12.942233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 96d559e0-c9f1-41c5-b1dc-db7e0077cb5d · inbound

Improve Large Language Model Systems with User Logs cites this paper.

Improve Large Language Model Systems with User Logs MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:00:16.817389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7d41ae-baf1-44a3-b0f9-25f6dbd3375d · inbound

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments cites this paper.

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-21T09:59:58.927980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d47c3893-1eaa-4d88-b5ad-fd667ba43488 · inbound

ATANT: An Evaluation Framework for AI Continuity cites this paper.

ATANT: An Evaluation Framework for AI Continuity MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:20:55.266228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd00da51-6abe-41db-bbdc-e98d3e6d9d2f · inbound

Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards cites this paper.

Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T08:06:01.151170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46d62ddd-1b97-4fe1-bff7-8f03e9762578 · inbound

ATANT v1.1: Positioning Continuity Evaluation Against Memory, Long-Context, and Agentic-Memory Benchmarks cites this paper.

ATANT v1.1: Positioning Continuity Evaluation Against Memory, Long-Context, and Agentic-Memory Benchmarks MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:06:00.716526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba428ddb-fce7-4554-9d8c-a39a341b042c · inbound

Skill Retrieval Augmentation for Agentic AI cites this paper.

Skill Retrieval Augmentation for Agentic AI MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:56:20.785231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e2c0a8d-e7cd-4da8-ba60-0737e6fd5809 · inbound

Skill Retrieval Augmentation for Agentic AI cites this paper.

Skill Retrieval Augmentation for Agentic AI MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T06:50:28.534630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ffadea85-a004-48f9-a80d-14ff147a72fd · inbound

Skill Retrieval Augmentation for Agentic AI cites this paper.

Skill Retrieval Augmentation for Agentic AI MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:55:34.833486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 722587ed-42aa-40f3-9eef-486cf0f79394 · inbound

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations cites this paper.

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T01:58:29.254668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b84ddc13-2c94-4e5c-882f-7d091fd7c461 · inbound

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations cites this paper.

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-20T21:33:46.303938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa4fe947-1753-4d1f-98e0-59a9ed946ff3 · inbound

State Contamination in Memory-Augmented LLM Agents cites this paper.

State Contamination in Memory-Augmented LLM Agents MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:32:48.006718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be9ee6ec-1f07-404f-b580-e59662ca58cc · inbound

EXG: Self-Evolving Agents with Experience Graphs cites this paper.

EXG: Self-Evolving Agents with Experience Graphs MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-19T22:17:49.344693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 391cad38-b801-40ad-82d1-72f0b7f68c57 · inbound

EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective cites this paper.

EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:38:14.607007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a89c373e-0454-4fa7-a388-af4c88a42362 · inbound

MemGym: a Long-Horizon Memory Environment for LLM Agents cites this paper.

MemGym: a Long-Horizon Memory Environment for LLM Agents MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-21T04:59:36.375306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 85aaf9a6-3d00-4123-845e-0578b0d44422 · inbound

Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue cites this paper.

Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T17:42:25.972078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d92bc1f-b907-4f0f-a4e2-db14557e5578 · inbound

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents cites this paper.

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:20.129431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eebbd52f-e63d-4415-a886-684646ab24db · inbound

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline cites this paper.

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:36:45.398625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe63c1bb-17cd-433f-813f-7f4ca9bdd3c5 · inbound

Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments cites this paper.

Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:56:56.860184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6621d3d6-2753-4515-b514-fc7ac96c1573 · inbound

MemTrace: Probing What Final Accuracy Misses in Long-Term Memory cites this paper.

MemTrace: Probing What Final Accuracy Misses in Long-Term Memory MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T18:18:49.831306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f46cf93-cdcb-45c5-bff3-b4c4e5d311d1 · inbound

Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games cites this paper.

Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:19:13.726063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08e77bbe-d1f5-4005-a2c7-be3679993ef2 · inbound

MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation cites this paper.

MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:54:21.053652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88f60077-19fa-47e0-a6a7-30cd47874937 · inbound

When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers cites this paper.

When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T05:06:38.912256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb077d9e-5aeb-4824-888b-2c7bd07e174c · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:36:43.281539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6348fcec-a079-42fb-a974-18f9838af2b0 · inbound

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cites this paper.

MemSyco-Bench: Benchmarking Sycophancy in Agent Memory MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T18:58:50.794862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88b1790e-7c99-40fa-a31b-bf8d4ecbd0bd · inbound

ContextWeave: A Real-World Workflow Benchmark cites this paper.

ContextWeave: A Real-World Workflow Benchmark MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:38:14.268235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fcf339f-deca-450b-9596-1f0e2439ffc2 · inbound

Different Feedback, Different Updates: Selective Self-Learning from User Interactions for Large Language Models cites this paper.

Different Feedback, Different Updates: Selective Self-Learning from User Interactions for Large Language Models MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T23:27:32.610040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.