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Paper Citation Record · LEDGER

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

As of 22 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 3 inbound Pith citation observations for arXiv:2605.29280.

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

pith.paper-citation-record.v1
2605.29280 v2

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T09:15:42.594870Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:47:51.346945Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:26:41.290083Z

Reference resolution

3 of 3 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45e3558b-6007-40e1-9764-0eb47590d256 · outbound

This paper cites an unresolved cited work.

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T09:15:42.594870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T09:15:42.594870Z digest=sha256:496341683986f3996911507d7657c39c7d3312992f6fed0b09a742b0d87f42b9

Observation bd63e854-064a-41ca-9c7a-8cb296b86753 · outbound

This paper cites an unresolved cited work.

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T09:15:42.594870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T09:15:42.594870Z digest=sha256:7454f1b5b7fd1fb69788cafe20f72395b64155c231a83a9e5ccaca0a3fad29dd

Observation 5bf64514-593f-475e-b608-7fd20d387a75 · outbound

This paper cites Increasingdmodel from the base width to∼3×improves NE gain from 0.09% to 0.13% at the highest embedding dimension.

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation Increasingdmodel from the base width to∼3×improves NE gain from 0.09% to 0.13% at the highest embedding dimension

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:53:29.663572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T09:15:42.594870Z digest=sha256:aaf2fcc0565142663eae908fc50cedd7978338069f6ff323173b2ee7c81f5180

Pith citing papers

Observation 20e4ecdc-5f2d-4c9a-8563-9a17d7cb466b · inbound

Gryphon-v2: One Model in Place of a Cascade - Generate-and-Rank Recommender with Rollout Distillation cites this paper.

Gryphon-v2: One Model in Place of a Cascade - Generate-and-Rank Recommender with Rollout Distillation LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:26:41.347019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T12:26:37.104130Z digest=sha256:8d1b668eb24d685d942bf619125c5d405fe6a3c595ce5a49c19d3e68813430fa

Observation 18e9d28a-a172-4dcb-887e-9adf6c4c08af · inbound

Teacher Retains Full Tokens, Student Merges Efficiently: TM20K for E-Commerce Sequence Modeling in Ad Recommendation cites this paper.

Teacher Retains Full Tokens, Student Merges Efficiently: TM20K for E-Commerce Sequence Modeling in Ad Recommendation LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T15:42:21.749271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:42:21.749271Z digest=sha256:a8ab616a0c68ddb5f82fcf6a8dcd7d1fd83b3ea591ba8dcf3e20d2dffaccc9a5

Observation 87403157-8826-47a1-8430-f71abd8e546d · inbound

Teacher Retains Full Tokens, Student Merges Efficiently: TM20K for E-Commerce Sequence Modeling in Ad Recommendation cites this paper.

Teacher Retains Full Tokens, Student Merges Efficiently: TM20K for E-Commerce Sequence Modeling in Ad Recommendation LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T04:47:51.346945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:47:51.346945Z digest=sha256:58a212c30fead5d3745fa388ed41e365919ade71f807c4cc0974ae3bf4554e9c