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Paper Citation Record · LEDGER

On the Structural Memory of LLM Agents

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 12 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 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:03:01.205174Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:15:00.385143Z

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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e7654d9-013d-44db-9a3e-f612558c2798 · outbound

This paper cites an unresolved cited work.

On the Structural Memory of LLM Agents Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:03:01.428101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.166746Z digest=sha256:edff1439fedf9f0b727203f793564f861faa44bd401c1097b6a4a59a0d5ffa05

Observation b404d229-c4ee-4b85-b41b-4e9421a79210 · outbound

This paper cites Large Language Models: A Survey.

On the Structural Memory of LLM Agents Large Language Models: A Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:03:01.147467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:03:01.147467Z digest=sha256:3216ce757d40d084613d5b6ca0595837a03b279fc9af2403548faeb009a4f041

Observation da108eda-183f-4bcd-a6f1-ca3558670289 · outbound

This paper cites an unresolved cited work.

On the Structural Memory of LLM Agents Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:03:01.373091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.183593Z digest=sha256:2ca2015998a10d022665281d2e9927738d3b786038c12167a0e04b70783fc4a5

Observation c67880ad-fcc3-4d05-9100-ccc3df08bd05 · outbound

This paper cites an unresolved cited work.

On the Structural Memory of LLM Agents Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:03:01.358464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.188119Z digest=sha256:d57f9469cdde0f8f76b9cb520d8d8a4f7c377edcee3a649305d4984bb0ce8321

Observation 02515358-adfb-4cac-bd7d-727bbcf74640 · outbound

This paper cites Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization.

On the Structural Memory of LLM Agents Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T14:03:01.161778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:03:01.161778Z digest=sha256:77148180e360815b8f5b91f0431681678a20aa76eec584992be4d5706483401c

Observation 786ff8b7-6e5f-4071-b827-fc1529ed1b25 · outbound

This paper cites These include propositions, theories, existences, concepts, and implicit elements like logic, causality, event sequences, interpersonal relationships, timelines, etc.

On the Structural Memory of LLM Agents These include propositions, theories, existences, concepts, and implicit elements like logic, causality, event sequences, interpersonal relationships, timelines, etc

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:03:01.415064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.170997Z digest=sha256:cc21f7dcedb04b2d3d8a36607b6277387ca2922955a269dea7e85cda3cfd0238

Observation 153bda78-4d6e-445b-a266-7c289cc4fd3c · outbound

This paper cites an unresolved cited work.

On the Structural Memory of LLM Agents Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:03:01.400779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.175420Z digest=sha256:8b93eea5f3d944d4ac6630a9b151c833499a37cd3a1653f7267ab411fb8146c7

Observation 06fa9e25-ba7b-4086-b2fe-2f954dfac1f2 · outbound

This paper cites an unresolved cited work.

On the Structural Memory of LLM Agents Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:03:01.387211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.179595Z digest=sha256:1f6c58e1cb74e93fd5549afcc973c4d0b72398bc299db92f4a27d354e0334f38

Observation 0e0cce37-812a-446c-9053-3d63401dae61 · outbound

This paper cites | Peter Dickson | June 23, 1957.

On the Structural Memory of LLM Agents | Peter Dickson | June 23, 1957

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:03:01.345128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.192313Z digest=sha256:fa76fd4dfdf52c17b669d43c77221f42159048b9d8cf36699a7e0ccb36b80743

Observation 0dc53948-7a3f-4bcd-b155-682069cdd8ee · outbound

This paper cites | Peter Dickson | British voice-over artist.

On the Structural Memory of LLM Agents | Peter Dickson | British voice-over artist

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:03:01.332306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.197099Z digest=sha256:4e9a799c5fe4c885d979c7f6c13fa45d86240fde6ca00b65b7df00bc86c33c75

Observation 62e990db-3b95-4908-97fc-600cf94ea263 · outbound

This paper cites | Peter Dickson | voice | E4.

On the Structural Memory of LLM Agents | Peter Dickson | voice | E4

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:03:01.318388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.201098Z digest=sha256:ef460284c82b558769b8a69e6008d33cfbe473092645f8eefe6d905557cf5b0a

Observation cd59b1a1-6366-4ebb-935d-e2fff2df1b69 · outbound

This paper cites The Right Stuff\.

On the Structural Memory of LLM Agents The Right Stuff\

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:03:01.304931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T14:03:01.205174Z digest=sha256:d3bbcd4aed8caaea580b2f4abb52b65ae69b2b0ea5b780490152404586819cfc

Observation ce1e6b51-4130-4590-82f6-560f4a8a34b1 · outbound

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

On the Structural Memory of LLM Agents Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T14:03:01.156771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:03:01.156771Z digest=sha256:15f335ed8b5f3f3c2a10b6b8b53eded90cf66520a8b2b623d1f5e40827443338

Observation ac6727f3-0ebc-4c61-9cf0-d004f8f90f24 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

On the Structural Memory of LLM Agents MemGPT: Towards LLMs as Operating Systems

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T14:03:01.152060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:03:01.152060Z digest=sha256:9443eb8c17925fb6f8423f7ad64a3ff7acd03c197c0b20ae6cf7df3c17ef389d

Observation 4236bab7-c474-4f98-9d79-be1b80f9ac96 · outbound

This paper cites GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

On the Structural Memory of LLM Agents GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T14:03:01.141654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:03:01.141654Z digest=sha256:b3af3963bbb19db76d455c349beece74a45c2b9c1a7722e626b075f21aed72b6

Pith citing papers

Observation eaf6cf5b-b403-4112-9ad0-1db506dec74b · inbound

MARK: Memory Augmented Refinement of Knowledge cites this paper.

MARK: Memory Augmented Refinement of Knowledge On the Structural Memory of LLM Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T23:15:00.385143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:15:00.385143Z digest=sha256:cbc49f99a42bd49b45e2eaae849d8e9d2ccab496d2da58ca0e0beb2dff4af8c9

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=sha256:785af4cc70af48b7334cb382c12d987ed2d882081e284d43a946cd18b2c9de1d

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:d819afa51456f9f9c651f8e4c4d0492a7ad82ccf003bf8836f55ddd46d3b7998

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=sha256:87c92fd406f159889d153f3169c0c812e24af858f490a37d50924552bbc56dcc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T00:57:25.902674Z digest=sha256:4dedc849af32230ef8430bf44e05298337397a78bbdc8edac0f4b1a4fd43ae3e

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=sha256:6fca1f9a5dc6d3b9369733caf65186f91540e4eee36823312cd06a73507dfec5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T18:30:01.015095Z digest=sha256:5591b910a40eedcc3cc6fbbf90e63d17abeb25c292c866678955eb1dba2d2b49

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T09:15:08.555551Z digest=sha256:f0c36b6124dfe424c5a65562fde99887f2dba997fcf6a9d975dbd35331252818

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T09:50:30.639962Z digest=sha256:25c85ac7de1d93e07a06358be8335abc3c56dad7ee88124576666f41315c5f88

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T10:06:59.839645Z digest=sha256:6145a08e46af72481d00e9a5456ded0054f95dbb5ebafab24b4c96085a3165e6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T18:34:15.845033Z digest=sha256:9f14add7b8dc085557c792835829dc264cbfa343d88244229c62f9e59ccef1aa

Observation b9a196c5-e96a-4ab3-93d6-54d52cb7892c · inbound

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution cites this paper.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution On the Structural Memory of LLM Agents

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T00:38:15.871145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:38:15.871145Z digest=sha256:54c2fb0d5e17bbbd43e9e5201775749a2c169ab51b7e329f3448a881872ed155