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 18 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:42.667869Z digest=sha256:0eb83df9bc65b5ef0b51eaf1525f60012ff148d046d9e27393c7fca313a3f72a

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=sha256:5e201eb04c15613334565fd6c9b7ec610930acd75c55eec3d7a244320bd1d034

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:42.959833Z digest=sha256:c5929d0411d6b384854ae0a0ae235df7e7237c96f6f65a269915d00b50520c2c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:43.127249Z digest=sha256:126d10fd27104c733f9e73ecabddd785d50dad36facf399666ebdae2bd664bf5

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=sha256:92d6f2fbbb685fc8504424261c3100662020578164a13723af40edd1def88365

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:43.346589Z digest=sha256:575c7dabd6769bf8062e81463f28ccfa53f5aabb619bc24abf29486d12abad0f

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:b033f27d90ff90e3fe8d647152780e383e3a9c09ec015f5c6d4865572241cfe3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:43.610637Z digest=sha256:e729759b8ccfffd782025c2afd26af9e960ec55d44183ae21d4adc7adbe7721e

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:d5ad45a6580b43289a71b0cc35ca005e55ca88d7721d71343b61e5fd7a810294

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=sha256:645c6a23bfe30159f583e33ecbd04f62601ea9957bab8884a63f3d2c938af8d9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:44.101286Z digest=sha256:63bbe1a3083443526e97877a86a86efe09445762f501a82ac81631ae9347b06f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:44.212433Z digest=sha256:aba5f0f253b00a82779a4c95f48dddc2c48f534dbcf49dc6e36e505c7eeb5f2d

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=sha256:4b76d9ada0f4c5478e432eae185aa3ea5328b049b68d8260c696a9d3c900eac7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:44.521419Z digest=sha256:1ea405cfc9a296d52011687cfe4424e0382d8d16680cc833d543b3b8155997be

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:fa4c1d34deda45e73e4f60eb990e575b2d15f5176f2506fbd886e8b2204f2fcd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:44.661949Z digest=sha256:773d798f63c7b11729ccd18e6e389af7fe9057352848bbf6368bb579df0249bc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:44.760702Z digest=sha256:8df936884d564abe172060d3a6504478ef2a8c51531000df47cbc26bfe6cd839

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=sha256:0dedd20b3f22c1b83d2ce392f3821b41b6b8099daa250d0e89e007d4c315eb08

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:45.065968Z digest=sha256:b83b9d02f5416a62a867e449c65f9d66fd372ec847775cf289c9041a460f271e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:45.271714Z digest=sha256:e31bd861eb9db8166dfb191d2c26cf3f4185af052b7ece34b32815538a9ffc23

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=sha256:82f8951b953a0b3eb75c5453754fc44c9d2308fb1aa504ce481e1e1ffd9a1569

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=sha256:14256fea22038656c5199e323b6ce4872e964dc1b0f92ee47ac58916821ae70d

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=sha256:26c55805f30eff47d1b82a1a666100cae3c5c2dbd1d0cda858418439e3f56dfc

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=sha256:86d60715ce0e656c5686fa25b443535563d0627f50910f501f918a5221dfa4a3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:46.120515Z digest=sha256:4ef17db55cf4433914c09b5ebba0e6d89ba4c5cc98d6a03f34608a2fc4b3c526

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:aa7457fc4c5688ca38255a26cd5a31e8c6a01af077d6cb9131486b75c51f7552

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:bf9db645acac78f4bf3dcce7f1c565fd95575fc190b38a45acfe685dca0178cf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:46.538159Z digest=sha256:4eb441a8704ebf0609834d7f678cfd1eb2f109bd81412e259ecf286446fb5c2e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:46.680655Z digest=sha256:8730da3a41c3408eb48a6294162264c2d35bcf93e23dba48cdd0c47e2470c344

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:46.829608Z digest=sha256:2b40493ffd3e2dcd6cf965015d7959fe864535a779aa2e719cccc69da4c6d36f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:46.988448Z digest=sha256:2aba8af63f43c68120be4ddde034db97525265a90a224cbaa0845c1feea1cd5a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:47.132451Z digest=sha256:b35aa9513b434f83ce130eed0e0b4eb4122c73ba3f514023b5c3d5a44e3b505c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:47.279106Z digest=sha256:c29a605e305d6f161c7243fa56242b519111b2c0d42858d1fdf1a72f3068685f

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:aafcf492906f80e4fd62f8c25533e05d319611a1e22454d30d14965f31ac9253

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:e471a85ff96d9a0350363e147e1aa7366875424e6e7ff18cdd3ca15b18c3f263

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=sha256:484f263e944b5c8ec0e63f9ce828b5180a9d0d2bcbaaf4763ca69d224e615b7d

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=sha256:8a976ef357d96a99d9e3a51b360b1810554a66c6bf9f9e5e97ba2e2421fd1f01

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:aeb92ebec79e51c453e4795039fbed69e59f5eef5b69eea7b9eb27618cc91bcd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:48.222971Z digest=sha256:67f8e7d1e40094d9a82ebea548d5d751e5d76cde61cb241303acee252f1f2994

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=sha256:5c6c69adb83c6cb78de41f5d0106f2b60e23960e257c43e2815cc076bd56b05c

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=sha256:424b075b64685ddaa2e28d6e726e8173674408eea3d770fa4d6cbf4f62c369ff

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:48.647452Z digest=sha256:6d5f0cb2cec69f38c9aa4aecd05ef48f68eaae06b265552fca104b3a6934656e

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:a1e04343659eb039c453092588269689e5c10da7d1ef388488a30e254a0678d3

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=sha256:2b435c13c6841c54156c0052af96b6d18f217640a0538d351ee503608d7e55c7

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:be6fabbfc508a87b1df2111e6372c2283cbe537c2638a27fd9c0b9e734c4b25c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:49.084258Z digest=sha256:0ec73092c2c990f1d1333dcf395adc51c4f02692651c090d8429e60c65ad0153

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=sha256:8534519012e98d0f1e7cd6c45da5db8701140d53f6226789ae9222cda06d1c17

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=sha256:21d36cc341ff9620f2cf6d2521681f839328b2f56c11647067d08c60e5b8d108

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=sha256:433f4e5a70f50c19e0ccf4354cfda272f0d4974061565d03c0cd86223b698c62

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=sha256:551209d7400c9d35cf546ec15338a9d9983c07145fa06762c27a41ccae779934

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:b656b2a869b095929d8faa62910ac6c24403856c6cf6b9acad131fbc0ab39c48

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:cde05fb544d664312f3d18c74ad1cf91d266fe045b029e0dc7f2a2001be81dfe

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T12:53:49.967655Z digest=sha256:91080bb3fc24e7af54c6039176fee7fb113a8bb63ae3240611c231818f215a8f

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=sha256:7096cc2addc8e8f840c5ad41fc2c925d32c992e3f2d29ce103943a05536e0fdb

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=sha256:6bf3d1829d32cf133bd78aa501a275acc0c11db85d76189e7fe760f1e746bbe0

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:f929a53f61d90c87801c6ff0b2d862bd3a12bd17969c3ad109c1d1c9422f5427

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=sha256:2c60fc39bdaacff316c98c0036bcf3ce82c280323db5cfec3747d6b09713ed36

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=sha256:01bd13c0963e77d48495ed673b7e6942614497bb34b8c49bc971e91f6c7ec51f

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:b8d3b1e406e3ca8927f0faef25c83bc2e3114152092c10f60b7bfb40bd6f2261

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:d5fd87d759cb8ade179bad772f76808f165bc904240200fd623313f3056a8532

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T12:26:08.190349Z digest=sha256:4a470aa3d8c449c2940dbe7bd967fefac5690157a18ab5ec4784fd70046f7b23

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=sha256:8d4999aa8652ccb48ec85de282bb4be09ba0b1d1da516fe82cc5b5bbd13b33b3

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:ef71666e2c47aeedd3808a20b4f455dc946691dbac97c75618eb23b5cf0730c6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T17:39:56.834496Z digest=sha256:ad16902a1a350b67ce3217cf2854742a86ab144850e9b64a701d695762a3c6cd

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T03:24:10.130356Z digest=sha256:eab767e14d25f14d840d9f87e6eabdee1e1a0398c68f4e614d1ea1129931559e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T03:07:26.498202Z digest=sha256:cd198bd38cb9679eb6a3abf2e9427b0890b99471087388fdc554703d7d6a5a04

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T12:22:59.494989Z digest=sha256:734cdd25d04e2ebfceef209c43d7297a7ee4bc3e558ff6f763f9f567a93637e7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T00:14:36.908022Z digest=sha256:e0af9cf590b09a1dc93d7ddf1073c6b4ffa902bdc8376e24f7431c7d8602e14d