Paper Citation Record · LEDGER

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.13449.

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

pith.paper-citation-record.v1
2402.13449 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:17.822369Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ef098124-ac88-48d1-8176-ccd975d81efe · inbound

Titans: Learning to Memorize at Test Time cites this paper.

Titans: Learning to Memorize at Test Time CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:15.250278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2337a906-3d91-452b-87cc-999181a596bc · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-12T15:39:41.305467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7081f72f-6da4-4bdb-824c-7d48c125f266 · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:17.822369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c010a8bc-8de4-410b-b0b5-10253169ea13 · inbound

MIRIX: Multi-Agent Memory System for LLM-Based Agents cites this paper.

MIRIX: Multi-Agent Memory System for LLM-Based Agents CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:57:52.763775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c716df9-a973-40d4-893f-e272db52bb00 · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:26:10.549528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation baec0d59-4fb6-48f0-9d23-ff9b6ee200c9 · inbound

Position: Modular Memory is the Key to Continual Learning Agents cites this paper.

Position: Modular Memory is the Key to Continual Learning Agents CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T19:33:03.543426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c56e311a-e789-41c8-b385-760f7da2936f · inbound

Extending LLM Context via Associative Recurrent Memory cites this paper.

Extending LLM Context via Associative Recurrent Memory CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-14T04:23:21.000846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.