Pith. sign in

Paper Citation Record · LEDGER

Cross-Batch Negative Sampling for Training Two-Tower Recommenders

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.15154.

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

pith.paper-citation-record.v1
2110.15154 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:33:19.237845Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 5cf09762-6794-4d90-aea6-fb44f4f54e01 · inbound

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers cites this paper.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers Cross-Batch Negative Sampling for Training Two-Tower Recommenders

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T02:46:10.816022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:46:10.816022Z digest=sha256:7a91982b4d6f9bc0e750f28c9caa6921176390e0d3636ab0bdf327c4880777d2

Observation 872e1824-d229-4dad-882b-f6d4a09aa627 · inbound

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers cites this paper.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers Cross-Batch Negative Sampling for Training Two-Tower Recommenders

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T01:33:19.237845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:33:19.237845Z digest=sha256:f3c8c615cf149e4da8891596e55637d619bb3dde5af3f8f23411064df046dbd4