Pith. sign in

Paper Citation Record · LEDGER

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

As of 7 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 8 inbound Pith citation observations for arXiv:2507.21428.

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

pith.paper-citation-record.v1
2507.21428 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:53:51.341070Z

measured 68 of 68 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:49:09.043818Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:24:39.307366Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3852f67-6a60-44de-8202-f47ad03b4ea0 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:58.484732Z

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=2026-08-06T12:53:42.667869Z digest=sha256:11f61afb1e3217b1f495b7cd3317160cb6bd18f7fe88692dbd4022cca460fc99

Observation 03baf249-3375-4f94-83ca-4c139b7aefca · outbound

This paper cites ProTIP: Progressive Tool Retrieval Improves Planning.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ProTIP: Progressive Tool Retrieval Improves Planning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:42.801712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:42.801712Z digest=sha256:54a183b6291567ffad9dc788b5f73a01c62f8794b0aa23f19755bb18123c97b8

Observation b82a4025-c5a0-4642-97c7-9ae5b721e655 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:58.109361Z

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=2026-08-06T12:53:42.959833Z digest=sha256:5ff179d02a56084c84672dd7e9275e76243f3b34e38b559cca43205971fd571d

Observation d99ceca6-fcab-4bbf-aff0-192c88335822 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:57.914678Z

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=2026-08-06T12:53:43.127249Z digest=sha256:34c0b4c3fdd596d98a7f2b530d43c854440229ddceb4bab4e52b00b64b99e7bd

Observation 34291626-f8c5-4363-9ccd-13b45318980a · outbound

This paper cites Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:43.232220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:43.232220Z digest=sha256:d5b28bb4aa3663bfa4a51bea63f9ae57f8820d65c6bd91710fa2bc7f236682ce

Observation 4271578b-db14-41ee-9980-743ec68ac342 · outbound

This paper cites ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ToolSpectrum : Towards Personalized Tool Utilization for Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:52.789813Z

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=2026-08-06T12:53:43.346589Z digest=sha256:4debbc87cd5ed6963ebc1cbbfb8b9af0d137081f5faee5a52e49a66bc8e2904b

Observation 334841a3-f66d-411a-893a-351c0f19fe79 · outbound

This paper cites Provence: efficient and robust context pruning for retrieval-augmented generation.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Provence: efficient and robust context pruning for retrieval-augmented generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:43.481300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:43.481300Z digest=sha256:a0f74eb2cb24f13ede07e20ca46c1c365e8d940486aaa47e91cf5f9231f6f438

Observation 67886da4-5f36-4ea9-bf02-17dc5c491021 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:57.705639Z

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=2026-08-06T12:53:43.610637Z digest=sha256:cfc604b7c6f9beb79f30a37a139304ec80ad16db9999b2b77ff9d332f3409d53

Observation de1c099f-f79a-40ef-9862-2ba4dabed602 · outbound

This paper cites AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:43.736707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:43.736707Z digest=sha256:3e8f89a20819497a89c51aac56ae973768b3e9727b025a324ac215d2a8621427

Observation e19e2b8a-2f17-4dfe-8443-66945b403d9f · outbound

This paper cites MCP-Zero: Active Tool Discovery for Autonomous LLM Agents.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:43.910123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:43.910123Z digest=sha256:aa8009a73d9ad9b465937694fd213ce47f9508b3f2ac52a34935daf3201ec7ee

Observation 56a4fa6d-9154-4a50-b07b-21876a6e8f41 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:57.356452Z

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=2026-08-06T12:53:44.101286Z digest=sha256:0f2c41dc7fbb6f4500bfd15b9bcefea00349f6cfcb9e411403b5c433bdaba048

Observation 561df292-8db2-4910-bf08-89396a08ae1d · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:57.084485Z

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=2026-08-06T12:53:44.212433Z digest=sha256:e201babd5c6a00cd1a58f4f9bfab5900876a5a951361866b7059ffb84865e365

Observation 7586a0c1-69de-404b-966d-e8fab546043f · outbound

This paper cites ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:44.385304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:44.385304Z digest=sha256:156546def8efd4cdbb8cf951e993aa44f3eaa0e1e352fd5bb7f5c6f1fcb8c667

Observation 389de9cb-5b7f-4f46-b147-267ed9187ba3 · outbound

This paper cites CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:52.476338Z

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=2026-08-06T12:53:44.521419Z digest=sha256:35d6b33907da6f4a74be9a6141ecba802b22b9afec17c5ac8cd7caf9cd075420

Observation b8a05253-907c-4581-b009-74c96eb3efb0 · outbound

This paper cites Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:44.607609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:44.607609Z digest=sha256:9850c243c5a3172b3839561133cb325d1fa7cabad2f2a63dc91bb1b70e4f501c

Observation 571049fe-efc1-4bb1-866d-c5197d01a1ec · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:56.784696Z

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=2026-08-06T12:53:44.661949Z digest=sha256:4bcab7ed72338558186d9376f822d30d6d70b18f4c13981d15c96ccdc4ab73fd

Observation 7d361bf7-6db4-4c1a-b35e-781ff33de6d6 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:56.480730Z

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=2026-08-06T12:53:44.760702Z digest=sha256:0c2aec0fab2b9c827ee60eb6b3d58159ac76d3438219eb0e8c8337347d0e743b

Observation 72304cec-08aa-459d-a4b2-b5be8b4ea9e4 · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations LLMs Get Lost In Multi-Turn Conversation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:44.899890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:44.899890Z digest=sha256:34ed1eccd23f69bdcfd83f975bc025f3ca2e4da7417b898be8c34b4d35630fc1

Observation fb6097fe-87b6-47ed-9202-7764f6d37f21 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:56.132685Z

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=2026-08-06T12:53:45.065968Z digest=sha256:086a1171203405694bd7caa6157d4399844b600d79f8681422439f68b2e2bae9

Observation 10ff1ba4-41e8-4056-9e44-28af73bc6390 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:55.854629Z

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=2026-08-06T12:53:45.271714Z digest=sha256:d950ef42bef2395730472f9f7319b23cfb8eb4951ca7dc7c700f170c717ba7fb

Observation bf497c9a-95ca-4e9a-b2db-90c07482a652 · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:45.371850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:45.371850Z digest=sha256:47fbc0d92ef513795d690c613bd6c9747102aa907ad04d4d03925cc72186229d

Observation 12aaf405-85c0-487c-ab57-c539b2fca86e · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ToolACE: Winning the Points of LLM Function Calling

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:45.526348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:45.526348Z digest=sha256:6081e752710bfc0e035b96976a3e1c770229700403f34eaa912cf2aeb0ee6721

Observation f15b6c01-2423-43a2-894c-bd617494d8d7 · outbound

This paper cites Graph RAG-Tool Fusion.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Graph RAG-Tool Fusion

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:45.698343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:45.698343Z digest=sha256:1ee0f229a194f8980a9da32745e79d24292b373f9571d6db911b582b57dd501e

Observation a333fad7-f27e-4789-80f1-4847fba6e929 · outbound

This paper cites ScaleMCP: Dynamic and Auto-Synchronizing Model Context Protocol Tools for LLM Agents.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ScaleMCP: Dynamic and Auto-Synchronizing Model Context Protocol Tools for LLM Agents

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:45.857850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:45.857850Z digest=sha256:8c079185203899e0ac1f5a6cb9b0cc3e92e3c5ddecefb293cbdedfe6c0faee14

Observation 907ca661-7c0d-4ed2-ba40-486a3b1c67b2 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 26

Resolution
verified exact
doi, observed 2026-08-06T12:53:51.572330Z

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=2026-08-06T12:53:46.120515Z digest=sha256:a342e1ec10da47bf774de84651d4adde98816826b09d0dd0510ea43daf42700b

Observation a1b5c487-6044-4b01-89c5-e472a06eb859 · outbound

This paper cites Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:46.294834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:46.294834Z digest=sha256:ad9aa31eb93a214654bc826ecf9153d13f524a40799524acab14f42c299156c7

Observation 93da7ee8-8439-4801-a72f-84b33d3e7349 · outbound

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

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:46.425333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:46.425333Z digest=sha256:efc955db71ff19ed591ec5de15534d8bc174d8aeda7696a60a8f1063247c06e2

Observation a188fe13-72dd-4b46-b0d1-a32f6186b05f · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:55.608565Z

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=2026-08-06T12:53:46.538159Z digest=sha256:b175662849664927a60dfa5055d3f051db78eb11535ed5d02b60bf3f68e967d6

Observation 1b1cb080-781f-4dcd-9e8a-4866328d540a · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:55.383859Z

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=2026-08-06T12:53:46.680655Z digest=sha256:dc9e2b26d3e96222a56640740bbb92026b412c0cd8d5b55e1d1e81f72d7cf38f

Observation 04efa01f-336d-4a95-a20c-995c79a44836 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:55.068440Z

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=2026-08-06T12:53:46.829608Z digest=sha256:d39e45e8c41879d6a503dc488f9897c9a5b775593dd4e493793a5e4deefd9e55

Observation 8c37cbc3-9ee0-4fc8-9416-3bb66599706c · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:54.753214Z

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=2026-08-06T12:53:46.988448Z digest=sha256:3ebc92480cd730d9b9462990d05ef005d42d84df0c17375e52a73c2d56ec6175

Observation 946c596b-383a-4ff9-a87b-585be472dd9a · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:54.503154Z

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=2026-08-06T12:53:47.132451Z digest=sha256:d6a14870942fff4ee32937f6a53d3af9f5bb3e21b429284c7584b0e26791c6b0

Observation 3ab99439-7e6c-48aa-a0b5-64c1e2e439a1 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:54.207877Z

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=2026-08-06T12:53:47.279106Z digest=sha256:15084f633f953b274a76e8e5e8cfc49b0c838305d70f06a1dea7ceae846ad897

Observation db0d8c4b-ae9f-4d43-8c85-b05920532ddc · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations MemGPT: Towards LLMs as Operating Systems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:47.408318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:47.408318Z digest=sha256:66d4259d587a87a8710b81ca3bd18a418c0d1371abeec9db311da2769c447e1b

Observation 8cb70b83-a118-43c7-8683-fe3af148932d · outbound

This paper cites On Memory Construction and Retrieval for Personalized Conversational Agents.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations On Memory Construction and Retrieval for Personalized Conversational Agents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:47.567669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:47.567669Z digest=sha256:5b93a2a38243a7a8c1ae9f2bb61ac12604a2bd2d32292b318eb6849bf491555a

Observation 4a6dfbab-6986-4c4c-957f-2ea6cef59dc0 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Generative Agents: Interactive Simulacra of Human Behavior

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:47.679112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:47.679112Z digest=sha256:78df71ddfd86bfe19bafd9572cef6ed942792b35e5f817e99c8396d9eeb8ab3f

Observation 31df3a00-1d76-493a-baf6-ca52ae0eb49d · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Gorilla: Large Language Model Connected with Massive APIs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:47.840047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:47.840047Z digest=sha256:0d86a12c577f82787d92f7205b0d0abe4eb505a8b5ebd579798e5fc7b981d030

Observation d6a1a67c-c31a-4bc2-825c-59b30c09bff6 · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Graph Retrieval-Augmented Generation: A Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.043436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.043436Z digest=sha256:0a9aa607e6146efdbb74a68da87ea7749597026b4ef0f80e2d3874a5839f735f

Observation 3d2f5f48-3974-464c-b071-75f21884c152 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:53.932493Z

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=2026-08-06T12:53:48.222971Z digest=sha256:afab55fe68ca52850095c4ed1bb4391fcaec49c71de7f48e637c66020e3711e7

Observation 073ca0b3-244a-45bb-a4a8-14818549462c · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.321111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.321111Z digest=sha256:5050de5ad0bb487ada7023262ca32624ba90f4b8e2de9320f7213039de632c34

Observation f5467bdf-0a77-4ee2-8b6d-8b9f52d11ffe · outbound

This paper cites On Context Utilization in Summarization with Large Language Models.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations On Context Utilization in Summarization with Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.486501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.486501Z digest=sha256:728c7117e8ca3baa033bb323e2e13d9ac16c6660fa8d0d6468ed266194b59bcd

Observation 40d48b54-01e0-4493-9d11-68b1887b9702 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:53.644614Z

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=2026-08-06T12:53:48.647452Z digest=sha256:d3e8a99ccbf38cab28bf5024bd899d4dd4b7361b44f128c4ba908a477496c0d8

Observation 46e3f815-c2b8-46be-8195-027c841fcb58 · outbound

This paper cites Cognitive Memory in Large Language Models.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Cognitive Memory in Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.754020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.754020Z digest=sha256:9380fa65d97f438782e25b9fba264ad8aa659ec0e9fa00a18ce38894a696da97

Observation 001241ca-8ea9-4d1a-988e-3258cc5c7e6f · outbound

This paper cites LongRoPE2: Near-Lossless LLM Context Window Scaling.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations LongRoPE2: Near-Lossless LLM Context Window Scaling

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.848391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.848391Z digest=sha256:56efe5a71236e78007fc9f511dec403ff6bce254a5c35416fc8f29478e66eff9

Observation c01f49d5-08bb-4e03-8dbe-661c0a1f9e7c · outbound

This paper cites Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.953385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.953385Z digest=sha256:bf256fb4c991011434f764489a5e8e0741e7f4b1573bb583485da23cadb591e6

Observation 22ee5c8a-4869-4c13-be86-86614a77075c · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:53.367396Z

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=2026-08-06T12:53:49.084258Z digest=sha256:579a8169c78170b3831d7ff8622f7f37f7d0e7cdee98c157a7792f34fc823afd

Observation fa04f6d6-4205-4691-a3f1-8fc2991cf064 · outbound

This paper cites Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.251136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.251136Z digest=sha256:a2aacd61e82a054f0baf28860aa6c3845f2a92b341d3ad181e0510113a0e6d43

Observation d2d2c51d-2e82-465e-a5ed-f923de73ad88 · outbound

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

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.370334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.370334Z digest=sha256:e019aacde878e18d84c8a9b74c93aaf4a32a22b04d546f133cec644fc6d2fb5b

Observation ecff0fad-2b2f-4a9f-8827-e3e5dd9e48b1 · outbound

This paper cites Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.428866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.428866Z digest=sha256:e3cbd71bd0445dc59c62c763ebfafafeea1f44c129c45cb7062ce2113d931e8a

Observation 8681677c-158a-429f-a808-715e719f89d2 · outbound

This paper cites From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.517931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.517931Z digest=sha256:c8c10fff9799b352338aea6afb9ee304ea3de4dd22e8be604f45218584063cfa

Observation e36c8547-f677-40d6-80b0-041fdc612027 · outbound

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

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations A-MEM: Agentic Memory for LLM Agents

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.640267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.640267Z digest=sha256:3f2fb0ad1484e073b4a4465c958ab992598db27089440fba4b9251f997aff434

Observation 2033cb1a-a003-4ea7-8564-6a1b39722ed9 · outbound

This paper cites CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:49.797926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:49.797926Z digest=sha256:4103a358ccbf5c29e48021da09406851914dcc57b4755fe222a30af584a63e32

Observation 76f201b6-72c4-4a2e-817e-b9b33645bc71 · outbound

This paper cites an unresolved cited work.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:53:53.042871Z

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=2026-08-06T12:53:49.967655Z digest=sha256:87a42677962e0fb9eb0dac18b7747a29e55cfe625bb4fd747b619ff9a651141d

Observation 555d7965-d53a-4a92-8cc2-876db88dc10c · outbound

This paper cites PersonaAgent: Bridging Memory and Action for Personalized LLM Agents.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations PersonaAgent: Bridging Memory and Action for Personalized LLM Agents

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:50.119209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:50.119209Z digest=sha256:4cb82228323e9bbf9f35a6412f5edf90289f31072b5bc757c22dbbf2da39ccc7

Observation 8e013541-895f-4045-af8d-4003bd6a134b · outbound

This paper cites ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:50.335167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:50.335167Z digest=sha256:f7b6661f2c482df7a40630a5c94e90a587bde257f7af612f281c8693a04d6f71

Observation 6e39fa99-e526-4f51-8493-3568998ae28c · outbound

This paper cites MemoryBank: Enhancing Large Language Models with Long-Term Memory.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations MemoryBank: Enhancing Large Language Models with Long-Term Memory

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:50.548866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:50.548866Z digest=sha256:049781238901d8a4d37452f62e3f60877355e8c916fcc9344e9ff0293cca2839

Observation 4bc21e9e-2cee-4d8e-9c78-e4d014c6b3fb · outbound

This paper cites Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:50.712467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:50.712467Z digest=sha256:ceeedb9f620b3cbd32d62d2c99fbccf28da8dd88b11e0e8af0b0d85b16b2aefc

Observation 1554c361-0528-45a3-a30d-5a1778fe4dc5 · outbound

This paper cites Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:50.939935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:50.939935Z digest=sha256:80aa061ca8a8d5ce1181f10f133af772eeb033f29e3fbf0847ce6b0750e82821

Observation d83e4e81-7af3-41bf-83e7-0d6601b1445c · outbound

This paper cites online" 'onlinestring :=.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations online" 'onlinestring :=

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:51.129280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:51.129280Z digest=sha256:d571ab1e5b50e6dc92481890f05c85495c7978218d562fa02ce444597052f1b1

Observation 5d2b2b66-d595-45ac-9a44-af57b55a29b7 · outbound

This paper cites write newline.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:51.341070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:51.341070Z digest=sha256:f093d0bb685907bc9747f44860967808b231c22840ef58812425c45d004b940b

Pith citing papers

Observation a658a154-26b1-4138-9b21-2e7b7504700b · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:30:00.537603Z

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=pdf_text observed=2026-05-15T12:26:08.190349Z digest=sha256:4d8a3ef0e920b1c70acbc717de50072bdeec12fe15791ed4a95351462c67d83c

Observation a58c19df-9533-46fa-b784-1640f52238b8 · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T18:20:57.462795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:20:57.462795Z digest=sha256:ef69142eb27e4f424c76d4a22d1b0c0c2281faa292f94c38970402595e812955

Observation 4505ea37-d102-485a-a7cd-7654adac39fd · inbound

LMEB: Long-horizon Memory Embedding Benchmark cites this paper.

LMEB: Long-horizon Memory Embedding Benchmark MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T05:49:09.043818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:49:09.043818Z digest=sha256:15309d6e51e6306108e7d213c6a008c20437b86ab9a52020ca228bf6010e3c67

Observation d6527323-1a10-4928-9ee1-2451c8cd7ae3 · inbound

DADL: A Declarative Description Language for Enterprise Tool Libraries in LLM Agent Systems cites this paper.

DADL: A Declarative Description Language for Enterprise Tool Libraries in LLM Agent Systems MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:21:09.767343Z

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=pdf_text observed=2026-05-08T17:39:56.834496Z digest=sha256:49acc2cbd545c6a099f17a064b538a3c39bfe03ad78fe805b4b604a935f2b628

Observation a61c15fc-2c09-4ef1-937a-1e299cd36b39 · inbound

Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents? cites this paper.

Ask Early, Ask Late, Ask Right: When Does Clarification Timing Matter for Long-Horizon Agents? MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:25:55.213096Z

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=2026-05-11T03:24:10.130356Z digest=sha256:afe187d1a97fb4d9d563b199cce28d850177d4d69ce905ff89aed30c4141befa

Observation 6ca6e699-deb1-413c-9156-9f109ece7e26 · inbound

Is Grep All You Need? How Agent Harnesses Reshape Agentic Search cites this paper.

Is Grep All You Need? How Agent Harnesses Reshape Agentic Search MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:08:58.268234Z

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=pdf_text observed=2026-05-15T03:07:26.498202Z digest=sha256:6e62c2c2d832b9a58bf9e887069c04f51c74ccc12fc9ab60de2554732a281f87

Observation 07375df0-704a-45e0-8c97-215f7f150c34 · inbound

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer cites this paper.

How Many Tools Should an LLM Agent See? A Chance-Corrected Answer MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:24:39.309047Z

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=pdf_text observed=2026-06-30T12:22:59.494989Z digest=sha256:1663bfe41c11bf74fc410b05db967493b169b9389253d09b40f87a387f9f1b54

Observation 382977be-5c33-4b85-a896-6cbfccc8c781 · inbound

Memory-Induced Tool-Drift in LLM Agents cites this paper.

Memory-Induced Tool-Drift in LLM Agents MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:24:04.399360Z

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=pdf_text observed=2026-06-30T00:14:36.908022Z digest=sha256:c6c3c49a8f0848fde43e046353bff5de67d2a8b857026d39f5f68b0dbab8c7bd