Pith. sign in

Paper Citation Record · LEDGER

SIDE: Semantic ID Embedding for effective learning from sequences

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.16698.

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

pith.paper-citation-record.v1
2506.16698 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T16:11:03.055765Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:57:30.110941Z

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 c7c47dba-e5eb-47c2-99c2-1984be558ed7 · inbound

Quantizing Intent: Cross-Domain Semantic IDs from Organic Activity for Industrial Ranking cites this paper.

Quantizing Intent: Cross-Domain Semantic IDs from Organic Activity for Industrial Ranking SIDE: Semantic ID Embedding for effective learning from sequences

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:56:15.216417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T16:11:03.055765Z digest=sha256:839f3c37041d1ef6bc96fc3c9afd379399de8c45ad5eb2c390d64a5efaa5f472

Observation 5bad6d52-3eaa-481a-b31e-c1b3f150987c · inbound

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction cites this paper.

DUET -- Dual User Embedding Transformers for Offsite Conversion Prediction SIDE: Semantic ID Embedding for effective learning from sequences

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:57:30.112736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T16:56:12.040446Z digest=sha256:2b13b0b9597cedc2b7a8bb7846bce495cbe8a3c66481521204f0f24b6a590c97