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Paper Citation Record · LEDGER

On the Structural Memory of LLM Agents

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2412.15266.

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

pith.paper-citation-record.v1
2412.15266 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:59.079201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:28.751771Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 082e6222-e12c-43cd-bd40-65da9f69ca12 · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? On the Structural Memory of LLM Agents

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:59.079201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:59.079201Z digest=sha256:c16ba78f78126ddbd87723c9fe9be31b67dbd1537936bafa18cea33b81c6a2c6

Observation 2494ce69-008f-4b63-8c7c-79a89b43d2f2 · inbound

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities cites this paper.

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities On the Structural Memory of LLM Agents

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:48.635079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:48.635079Z digest=sha256:d007864e10574992d7ec9e66648e1c9bcb600c10301f28c479ae896f55739cdd

Observation b37f80cb-96ee-4aa5-b614-a808419da99f · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems On the Structural Memory of LLM Agents

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:24.121683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:24.121683Z digest=sha256:e8d99d0ba90f62cfcc43e27ecbde43e3c16123064ee616aab7893859a22446f2

Observation ac2ad8b0-20ae-41e6-95cd-e50f7701106f · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning On the Structural Memory of LLM Agents

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:00:34.551602Z

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=2026-05-18T00:57:25.902674Z digest=sha256:6e04aecbef1f61c58bcad0aa29018a98c506ee0c78d3e4248fca1bd326995bc6

Observation 0e4d7de1-100f-46ad-aa68-8b902d389bca · inbound

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation On the Structural Memory of LLM Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T03:04:47.703057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:47.703057Z digest=sha256:9078e550c9d8cb9d7bc142a015eeafc0f1e0bd3ab71147456ea9d364bac23c77

Observation 2dcf4473-283f-46a1-89f1-ccefdbe1f62e · inbound

ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry cites this paper.

ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry On the Structural Memory of LLM Agents

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:51.495075Z

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=2026-05-10T18:30:01.015095Z digest=sha256:302d9303ec04e684e8442bd53a194a3c4fa07fa28552df3457b479e7acd5e477

Observation 429cfc03-0e33-4edd-a30e-3ac0c7099de2 · inbound

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis cites this paper.

Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis On the Structural Memory of LLM Agents

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:13.415100Z

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=2026-05-08T09:15:08.555551Z digest=sha256:1412de79d4bea28ae5094e62face7455c5b3c40c22d1bc282206425e08f61af5

Observation ebe0b2a1-ee07-4b5a-b026-d59f99c9eee1 · inbound

From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work cites this paper.

From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work On the Structural Memory of LLM Agents

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:16:09.346090Z

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=2026-05-08T09:50:30.639962Z digest=sha256:745b67bc4819daec1826cc48052eba55d7314d023226ef0c1f52834003684866

Observation 3a5abb57-22ba-4bc3-b6f9-6fc39dbb5ce2 · inbound

Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents cites this paper.

Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents On the Structural Memory of LLM Agents

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.829489Z

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=2026-06-27T10:06:59.839645Z digest=sha256:ac6f6e1ec3df30ae6c6b23efa954bd03cb4381ea2032e57f4bbb756a5a4492b8

Observation 7fa93acc-b9a7-4e01-8ba8-884cb9799684 · inbound

A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.

A Technical Taxonomy of LLM Agent Communication Protocols On the Structural Memory of LLM Agents

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:09:28.753879Z

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=2026-06-26T18:34:15.845033Z digest=sha256:94e72fa16505fa2310599382134b6f39b3ae49f3153e9f96c2efea0667d276dc