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Paper Citation Record · LEDGER

A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.07770.

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

pith.paper-citation-record.v1
2411.07770 v3

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:06:59.412744Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:24:26.154186Z

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 eb6f5a09-f6e6-419e-9d0c-e98d2332e480 · inbound

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation cites this paper.

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T20:06:59.412744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:06:59.412744Z digest=sha256:0097f1d8d63cbd51f303b3ae9bdcec6350071d489f73b28dcee69b01dd01229a

Observation 0d32b1d1-dac7-4518-99b0-d880d3a14d4a · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:24:26.156880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T23:23:26.304190Z digest=sha256:662bd8440dd63850c84f15255635febd0ea582b49618066669dcbc43143fd72a

Observation 0a728ba4-4ad0-498a-bae6-874184d0c01d · inbound

Long-Term Embeddings for Balanced Personalization cites this paper.

Long-Term Embeddings for Balanced Personalization A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:10:52.398130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:39:41.045848Z digest=sha256:741dc4d8ecc5987c347620b11aef6d96008f003771a8d538a77e1dc0bda75959