Paper Citation Record · LEDGER

Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.02466.

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

pith.paper-citation-record.v1
2505.02466 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:19.884958Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:49.187189Z

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 d5eb6ee4-b5c2-4fa9-8381-bfdcde86cff8 · inbound

RaDeR: Reasoning-aware Dense Retrieval Models cites this paper.

RaDeR: Reasoning-aware Dense Retrieval Models Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:19.884958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63620c65-f3aa-4bca-a327-c4dcc8db71aa · inbound

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed cites this paper.

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:43.760061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82c44e7f-d6b2-4b51-b68e-0ffd5524c382 · inbound

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model cites this paper.

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:30:16.777926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bd9cac-0349-4008-a3fd-d01f5305fdc4 · inbound

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension cites this paper.

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:46:56.298207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed727603-47b9-4c52-b487-e836cf844156 · inbound

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage cites this paper.

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:10:49.481275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ca18c83d-c1b2-402d-99db-607a6d923e33 · inbound

Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors cites this paper.

Do Neural Retrievers Prefer Certain Documents? Evidence of Learned Relevance Priors Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:16:24.624359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ad42076-50a4-48ff-abae-a6bf6e2c4f48 · inbound

Improving Long-Context Retrieval with Multi-Prefix Embedding cites this paper.

Improving Long-Context Retrieval with Multi-Prefix Embedding Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:39:49.188850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.