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Paper Citation Record · LEDGER

Does RAG Really Perform Bad For Long-Context Processing?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.11444.

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

pith.paper-citation-record.v1
2502.11444 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:15:08.483177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:17:15.099136Z

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 4d9fd658-93e1-4e28-bab6-386601e6e3a2 · inbound

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models cites this paper.

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models Does RAG Really Perform Bad For Long-Context Processing?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:08.483177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:15:08.483177Z digest=sha256:610027b1292d6353a082f826bfc1fcb1d81fe22c7aafa850a98eac94b86b6433

Observation 00cd5b10-f30c-4791-bbbd-9f668479a221 · inbound

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search cites this paper.

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search Does RAG Really Perform Bad For Long-Context Processing?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:23.726816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:23.726816Z digest=sha256:81fea80b8e96f40333530ad0e526061c95e8d5b2246c1082ce3bd3fb55ad5c93

Observation 65ec54fd-fab7-4aad-84bf-aa1ddbc8cdb2 · inbound

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering cites this paper.

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering Does RAG Really Perform Bad For Long-Context Processing?

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:17:15.100358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:05:00.537690Z digest=sha256:8f29747c9eb3b17e9b779e3bde126582f93a8ad568a04718b1d85614c9dc3a96