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Paper Citation Record · LEDGER

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2308.15022.

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

pith.paper-citation-record.v1
2308.15022 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:41:11.215775Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

10
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation caeb94c5-d48e-40f8-a9e4-b1e01f425f23 · inbound

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

Evaluating Very Long-Term Conversational Memory of LLM Agents Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:05:13.051535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T08:05:10.586357Z digest=sha256:acf714b2afdf2d12bfceced6db07deb55884fce073ae5e761e1886a1e7faac15

Observation b0caa610-cc6d-4cc6-956b-e59d36829da2 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:17:31.117469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:15:36.906263Z digest=sha256:5527f70fdd8474da0ecc0e313b14c8b88cd18928655259f32e61cd2c6f54cc0b

Observation 6b633448-2c5d-4388-bfeb-ac53905024c5 · inbound

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

On Memory Construction and Retrieval for Personalized Conversational Agents Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T18:46:28.192588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:46:28.192588Z digest=sha256:068e40cada33497252badb323ad45a3ad45ddba0ef5910e6897a8e1a6f0fc42a

Observation bea96a60-3957-41d1-ad87-30775c96e763 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 207

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:09.448697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:7be46e7c5e63917e527e280622c0682e768f67311a27fbad2ecfac06d9710049

Observation 5a25703b-9c32-4f11-8a01-39c3926e3b63 · inbound

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

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-17T11:05:09.684128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:f2a57d81f987edfed27fd244f97c4fdcfdeeb356b0fc49dd612811e0bb18946b

Observation d2586067-f1ba-46bd-bde1-388742cfeadc · inbound

Writing Like the Best: Exemplar-Based Expository Text Generation cites this paper.

Writing Like the Best: Exemplar-Based Expository Text Generation Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T14:30:22.608189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:30:22.608189Z digest=sha256:acfbeac376bcc8638d55557e0c5f57718f4f66fd3ebacdb9fec8119f22ac1150

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

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

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 09a0b824-fc60-46ce-891f-873add1f0863 · inbound

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory cites this paper.

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T22:02:15.430897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:15.430897Z digest=sha256:765da5912943867157f70d6a98361c862a531d257c23f17202ae2d4567f530bc

Observation 207bb0ce-9fff-49d1-a9e4-b482c7126272 · inbound

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs cites this paper.

Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-10T21:50:50.542642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:11:35.346010Z digest=sha256:b891856dd312a6b4b8f62ddaeead75f9b3dc44ba3fbbb0e713c958f47e5ac4e9

Observation b29d9921-26cd-4453-9d0c-374099dcfcc9 · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:03.721754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T10:55:20.435471Z digest=sha256:bd1ed89a63d525026f58e491f4ff36f68d3752a33113ef395277c91458b96343

Observation c774d9ff-ea7f-4f8a-9356-8f35d7863ab8 · inbound

CARE: Counselor-Aligned Response Engine for Online Mental-Health Support cites this paper.

CARE: Counselor-Aligned Response Engine for Online Mental-Health Support Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T22:34:06.828766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T22:32:10.343501Z digest=sha256:6060a35aa3bedab96cf5e6f0ef266621fea8ffa4919d2bc5b64c5ddddb0169b0

Observation 373d65a5-7645-4839-b620-2826e9120239 · inbound

MemGym: a Long-Horizon Memory Environment for LLM Agents cites this paper.

MemGym: a Long-Horizon Memory Environment for LLM Agents Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.306470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T04:58:41.043782Z digest=sha256:40dfe0e00055fd499769d8bb7bb8f2aa1435a216c5c441c92f5740455f8865e8

Observation 5f8111b5-9d72-41a3-9db4-95e536ed0b4e · inbound

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions cites this paper.

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:13:44.669300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T17:10:02.936605Z digest=sha256:f110b09f8013cb2998a3153e34578a5d3daaa1806d699fbf6afe732d4aee1046

Observation 5998c85f-a035-4deb-a30e-d1df2a0eab29 · inbound

Akashic: A Low-Overhead LLM Inference Service with MemAttention cites this paper.

Akashic: A Low-Overhead LLM Inference Service with MemAttention Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-11T03:27:45.230269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-11T03:21:33.871506Z digest=sha256:3afbf5210893b636a0bc0aea7c48cc3669da480e37b2871651b47fc123c7eb67

Observation d49b8d39-1e0f-4225-af7a-c49194266426 · inbound

Delivery, Not Storage: Cue-Anchored Working Memory as a Harness Property for Coding Agents cites this paper.

Delivery, Not Storage: Cue-Anchored Working Memory as a Harness Property for Coding Agents Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T08:54:36.028192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:54:36.028192Z digest=sha256:e4949d207bcecbff71ec0a46502dd365fa8c515a9b818ef30331bfb08635d587

Observation 5129d7ef-986f-49e1-9161-c36d44b6fc21 · inbound

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory cites this paper.

Understanding Is Done Early: A Depth Division of Labor in Large Language Models and Its Use for Unbounded-Context Memory Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-07-31T12:56:46.074813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T12:56:46.074813Z digest=sha256:9499cf2f4b33141ab481446e260ed4e19ed7cb142568800c1e56566bf01b0343

Observation 80b44305-efdb-4b67-ae1d-39604b5f154d · inbound

Blast Radius cites this paper.

Blast Radius Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T04:41:11.215775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:41:11.215775Z digest=sha256:4883a3953c1bfdff7acbc75c41600210ff3a0902bb3e5167a1d2531e3c3cf9a2