Paper Citation Record · LEDGER

Large Language Models Can Learn Temporal Reasoning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.06853.

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

pith.paper-citation-record.v1
2401.06853 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:10.893153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.632674Z

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 830c7ce7-0a94-43a1-b4dd-198b85c0f1ff · inbound

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models cites this paper.

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models Large Language Models Can Learn Temporal Reasoning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:10.893153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad20fd23-15f5-4e36-8e37-0c492d017cc2 · inbound

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance cites this paper.

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance Large Language Models Can Learn Temporal Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:09.292502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79565050-2203-4196-9ebf-a5bc88786daf · inbound

Pluri-perspectivism in Human-robot Co-creativity with Older Adults cites this paper.

Pluri-perspectivism in Human-robot Co-creativity with Older Adults Large Language Models Can Learn Temporal Reasoning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:41:37.629870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f6aad1d-8c11-4fc7-a325-6c584bd6b519 · inbound

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning cites this paper.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Large Language Models Can Learn Temporal Reasoning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:03.789789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20120d94-17bc-4d15-b894-54f66bfbd48c · inbound

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval cites this paper.

T-GRAG: A Dynamic GraphRAG Framework for Resolving Temporal Conflicts and Redundancy in Knowledge Retrieval Large Language Models Can Learn Temporal Reasoning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:00.346791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353b3d2f-1442-470d-a2e5-b0a44bda6061 · inbound

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding cites this paper.

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding Large Language Models Can Learn Temporal Reasoning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T22:54:32.458132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de07f6e6-c02b-4eea-8586-933e3016c469 · inbound

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph cites this paper.

ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Large Language Models Can Learn Temporal Reasoning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T13:32:47.904303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e97f7d-cecd-4b7a-a88d-7193451f2c41 · inbound

TempoBench: Evaluating Temporal Causal Reasoning in Large Language Models cites this paper.

TempoBench: Evaluating Temporal Causal Reasoning in Large Language Models Large Language Models Can Learn Temporal Reasoning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T07:01:43.073925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ae7a4c-bd6f-457a-8457-1f1dbfb15b0e · inbound

AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models cites this paper.

AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models Large Language Models Can Learn Temporal Reasoning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:17.529825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 242e1685-e993-485a-920c-c09ceda0310a · inbound

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search cites this paper.

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search Large Language Models Can Learn Temporal Reasoning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:42:36.983432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5577ece5-fc53-476a-841d-0c51d9b38a11 · inbound

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search cites this paper.

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search Large Language Models Can Learn Temporal Reasoning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:13:49.142128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c4cbc145-4257-425f-9038-f7018d602b49 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Large Language Models Can Learn Temporal Reasoning

Reference 273

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:57:41.634073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.