Paper Citation Record · LEDGER

Lightweight LLM Agent Memory with Small Language Models

As of 5 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 10 inbound Pith citation observations for arXiv:2604.07798.

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

pith.paper-citation-record.v1
2604.07798 v3

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:21:59.224547Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:36:48.927975Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T15:19:55.999542Z

Reference resolution

13 of 13 outbound references displayed

verified exact3
verified fuzzy4
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 627bae43-4199-4910-aeae-9d108b66333a · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

Lightweight LLM Agent Memory with Small Language Models Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T14:15:11.779838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 279d783b-4282-4158-bdec-398e9eb07fc1 · outbound

This paper cites Qwen2.5-VL Technical Report.

Lightweight LLM Agent Memory with Small Language Models Qwen2.5-VL Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:56:04.135034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87c25150-710b-4fa8-8478-9e55fa661d48 · outbound

This paper cites The Llama 3 Herd of Models.

Lightweight LLM Agent Memory with Small Language Models The Llama 3 Herd of Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T06:56:04.141093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ca85c01-2e09-439e-a378-a44651e800ae · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Lightweight LLM Agent Memory with Small Language Models Understanding the planning of LLM agents: A survey

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:12:57.765583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eb9e65b7-0381-4b37-b628-f60b9eb7f1c6 · outbound

This paper cites GPT-4o System Card.

Lightweight LLM Agent Memory with Small Language Models GPT-4o System Card

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T06:56:04.099387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 339250f1-1c62-44d2-ae65-2bc96251eb30 · outbound

This paper cites arXiv preprint arXiv:2406.13144 , year=.

Lightweight LLM Agent Memory with Small Language Models arXiv preprint arXiv:2406.13144 , year=

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:56:04.108728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 70af2f17-40dc-4d9d-af21-0f919dacc0a2 · outbound

This paper cites InForty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27.

Lightweight LLM Agent Memory with Small Language Models InForty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T10:49:28.132266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f852c3dd-f5c3-4d96-bd74-7efa37fbda12 · outbound

This paper cites In Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025), pages 56–65.

Lightweight LLM Agent Memory with Small Language Models In Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025), pages 56–65

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T10:49:28.123249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f94481a5-c547-4bb3-87b1-3725ddd9a0db · outbound

This paper cites an unresolved cited work.

Lightweight LLM Agent Memory with Small Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-17T10:49:28.126165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c9a59cdc-e953-4fc3-81fb-5511f1bf83a2 · outbound

This paper cites Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, and Zhenhua Dong.

Lightweight LLM Agent Memory with Small Language Models Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, and Zhenhua Dong

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T10:49:28.129213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 564debf8-4c1d-47a3-9658-08cf4fe7757c · outbound

This paper cites InFindings of the Association for Computational Linguistics, ACL 2025, Vienna, Aus- tria, July 27 - August 1, 2025, pages 19336–19352.

Lightweight LLM Agent Memory with Small Language Models InFindings of the Association for Computational Linguistics, ACL 2025, Vienna, Aus- tria, July 27 - August 1, 2025, pages 19336–19352

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T10:49:28.119655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ee62c3c-388f-4f54-8f4f-d656713d3b84 · outbound

This paper cites arXiv preprint arXiv:2603.12933 , year=.

Lightweight LLM Agent Memory with Small Language Models arXiv preprint arXiv:2603.12933 , year=

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:56:04.117217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f0b63809-0471-420d-9997-f5de4f59c546 · outbound

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

Lightweight LLM Agent Memory with Small Language Models A-MEM: Agentic Memory for LLM Agents

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:56:04.092975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 8ccdd440-6999-4d84-8569-280062f40933 · inbound

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs cites this paper.

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs Lightweight LLM Agent Memory with Small Language Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:56:05.334639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27a43a41-eaf9-4779-9bee-fff1dfb05ac5 · inbound

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing cites this paper.

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing Lightweight LLM Agent Memory with Small Language Models

Reference 61

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T13:06:03.391106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ebda1b2c-7c16-4e28-99b2-ba241792ab01 · inbound

CAP: Controllable Alignment Prompting for Unlearning in LLMs cites this paper.

CAP: Controllable Alignment Prompting for Unlearning in LLMs Lightweight LLM Agent Memory with Small Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T14:26:02.555086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation df697c23-10a8-452f-b3b7-d55d96733e60 · inbound

CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning cites this paper.

CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning Lightweight LLM Agent Memory with Small Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-11T20:41:14.396012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d8a0fe8d-902f-4cad-81fa-93ac95070785 · inbound

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors cites this paper.

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-11T20:36:11.721575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 551059ad-eaaf-4094-825c-311faf5838df · inbound

Partial exploiters sustain cooperation: the hump-shaped strategy stably coexists with unconditional cooperators cites this paper.

Partial exploiters sustain cooperation: the hump-shaped strategy stably coexists with unconditional cooperators Lightweight LLM Agent Memory with Small Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:19:56.000824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1110bb69-e6da-4a44-bdf1-5079b81c5543 · inbound

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents cites this paper.

Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents Lightweight LLM Agent Memory with Small Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:54:00.013941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6aab863-2241-4326-bbc8-7c828335a62e · inbound

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking cites this paper.

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking Lightweight LLM Agent Memory with Small Language Models

Reference 63

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T20:56:13.813745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c0c31924-6337-4d18-8115-731e7e65e0c7 · inbound

TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations cites this paper.

TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations Lightweight LLM Agent Memory with Small Language Models

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:29:37.176450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2590a806-36d0-4c1f-98b3-1e89cc96911e · inbound

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation cites this paper.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Lightweight LLM Agent Memory with Small Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:48.927975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.