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Paper Citation Record · LEDGER

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track

As of 14 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2606.11199.

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

pith.paper-citation-record.v1
2606.11199 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-05T07:09:27.772339Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact6
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39a44f02-89d8-42c7-b036-fa25eb1a2890 · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-05T07:10:46.014143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:a39c644208782b9602d0c1bfe28994a62cf0f5fe8ae53bee27f506e866230457

Observation a3915f58-a98d-4a9c-b56d-539b86e7364c · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-05T07:10:46.017410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:fef243a196045783bcd72e2cfb2171e0ef4c62ba3fd49d0af206fecea1d7562a

Observation ae13bd19-e1d0-4577-b882-4900cd74fd1d · outbound

This paper cites RAG meets temporal graphs: Time-sensitive modeling and retrieval for evolving knowledge.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track RAG meets temporal graphs: Time-sensitive modeling and retrieval for evolving knowledge

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-05T07:10:46.009449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:142de924bd3fbdc99e08ecb3848703612841e3149c7196bfb5402a4dc3bfafc2

Observation 0ae99585-1cd8-4c98-b473-26749105d1ab · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-05T07:10:46.022641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:3affb066b43512a0fb4c80daca41f0955c704358c55b4c8c808bc78a22ddd36e

Observation 640c3807-41a4-4304-875a-5d56900754f6 · outbound

This paper cites Active Retrieval Augmented Generation.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track Active Retrieval Augmented Generation

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-05T07:10:46.029141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:edd93d018c4dc437e704afab7a3011ba8941d6f7e847bc0393408e51d7ecbba0

Observation 68f0d9ee-102a-40ee-9061-0b80310f8aec · outbound

This paper cites Corrective Retrieval Augmented Generation.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track Corrective Retrieval Augmented Generation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-05T07:10:46.025492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:d9334fd97bd763c77317c4b71e0af56e047039494cf73886f1693d8c4ddfbbb2

Observation 670ed73b-ff3d-4557-91de-efbb28df575c · outbound

This paper cites MMU-RAGent: Massive Multi-Modal User-Centric Retrieval Augmented Generation Benchmark,.

NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track MMU-RAGent: Massive Multi-Modal User-Centric Retrieval Augmented Generation Benchmark,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T07:10:46.115630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-05T07:09:27.772339Z digest=sha256:74da09b532ae76266278f542e00b85a7b6f913de268120bcf35442180afb7e33

Pith citing papers

No inbound Pith citation observations are available.