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Paper Citation Record · LEDGER

UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.08761.

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

pith.paper-citation-record.v1
2504.08761 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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:59:28.085312Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:43:14.919374Z

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 2667453e-68c3-4414-9e9d-09f5b1705ac4 · inbound

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens cites this paper.

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:00:10.022151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T16:00:03.578685Z digest=sha256:1187068b2651a9b4c83c6f6a31d656b0719e17fe8f93d68b3e7ffaf41d37b667

Observation 998f653d-f08c-49d4-bc86-224daf1eb5ce · inbound

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code cites this paper.

AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:43:14.921236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-20T11:41:58.923091Z digest=sha256:d14cd6eba1312c06c4ed82e531d81fd8ce91310674273afd125f620624e8cf2d

Observation 0f6ad59a-317b-4d00-93c7-24a88606039b · inbound

From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models cites this paper.

From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T03:59:28.085312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:59:28.085312Z digest=sha256:e378069208ba9cb6171b07f26b9412784de10affbbd1b6727595d283817a12b5