Paper Citation Record · LEDGER

SFR-RAG: Towards Contextually Faithful LLMs

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.09916.

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

pith.paper-citation-record.v1
2409.09916 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:00:47.908000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T15:14:26.388221Z

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 66a03b84-7eb0-466e-8cf9-eee9f105a7c1 · inbound

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs cites this paper.

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs SFR-RAG: Towards Contextually Faithful LLMs

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T18:00:47.908000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c76193a-9380-4d52-96be-cc508fc38800 · inbound

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents cites this paper.

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents SFR-RAG: Towards Contextually Faithful LLMs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T23:55:38.553494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba5ec41-2f48-4e11-92d2-67595a567351 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models SFR-RAG: Towards Contextually Faithful LLMs

Reference 270

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.391058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c94aed1a-eaba-4236-bf6b-1d16b98f5982 · inbound

Do Audio-Visual Large Language Models Really See and Hear? cites this paper.

Do Audio-Visual Large Language Models Really See and Hear? SFR-RAG: Towards Contextually Faithful LLMs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:58:15.840714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8d411f08-79da-4d13-b969-ea768138f063 · inbound

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation cites this paper.

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation SFR-RAG: Towards Contextually Faithful LLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:08:27.189134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.