Paper Citation Record · LEDGER

End-to-end training of Multimodal Model and ranking Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.06078.

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

pith.paper-citation-record.v1
2404.06078 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:36:33.518816Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:54:59.164332Z

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 cad851cc-02a5-4be0-aee6-dfb3becc28cd · inbound

GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation cites this paper.

GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation End-to-end training of Multimodal Model and ranking Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:36:33.518816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d536b810-fb62-4cde-be9f-1f53523f32a8 · inbound

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction cites this paper.

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction End-to-end training of Multimodal Model and ranking Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:23:22.174058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e0cf61f-2f3c-4b6a-842c-b002e4d3a849 · inbound

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation cites this paper.

Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation End-to-end training of Multimodal Model and ranking Model

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T23:12:51.735673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38b77412-290d-47bc-ace4-9e5137c57ab7 · inbound

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation cites this paper.

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation End-to-end training of Multimodal Model and ranking Model

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:21:16.803289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ec6c595-b457-4741-899c-c77ef9c64c1f · inbound

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation cites this paper.

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation End-to-end training of Multimodal Model and ranking Model

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:54:59.166011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 047b7ae0-5571-47f2-b9b8-16b208100b01 · inbound

GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System cites this paper.

GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System End-to-end training of Multimodal Model and ranking Model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T11:34:16.673517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.