Paper Citation Record · LEDGER

Disentangling Memory and Reasoning Ability in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.13504.

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

pith.paper-citation-record.v1
2411.13504 v3

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 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:36.171725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:00:34.479219Z

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 23d47e11-9eea-4112-b208-dbdc2e3b1745 · inbound

Chain of Methodologies: Scaling Test Time Computation without Training cites this paper.

Chain of Methodologies: Scaling Test Time Computation without Training Disentangling Memory and Reasoning Ability in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:36.171725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baee6392-064d-4be7-81ed-337b5558a115 · inbound

MemOS: A Memory OS for AI System cites this paper.

MemOS: A Memory OS for AI System Disentangling Memory and Reasoning Ability in Large Language Models

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:20:22.804173Z

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.

Observation 6dadfa39-c47f-441e-a678-5eecd621d30a · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Disentangling Memory and Reasoning Ability in Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:27.279503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7168158f-9b9a-43a1-a50e-a634b944d84f · inbound

Interaction as Intelligence: Deep Research With Human-AI Partnership cites this paper.

Interaction as Intelligence: Deep Research With Human-AI Partnership Disentangling Memory and Reasoning Ability in Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:30:40.607353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03354080-75f4-443f-9426-dfd80d3c9f0f · inbound

Thinking Before You Speak: A Proactive Test-time Scaling Approach cites this paper.

Thinking Before You Speak: A Proactive Test-time Scaling Approach Disentangling Memory and Reasoning Ability in Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:23:34.252236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03aae976-b86c-4539-834b-2cd698ed3c02 · 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 Disentangling Memory and Reasoning Ability in Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:00:34.483021Z

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.

Observation 67a23ccb-4c8b-4f6a-88eb-3216cff50362 · inbound

SeLaR: Selective Latent Reasoning in Large Language Models cites this paper.

SeLaR: Selective Latent Reasoning in Large Language Models Disentangling Memory and Reasoning Ability in Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:35:49.857901Z

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.