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Paper Citation Record · LEDGER

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval

As of 6 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.03150.

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

pith.paper-citation-record.v1
2608.03150 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:42:54.775297Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddb4b519-24eb-4f86-8f48-9c2dc502cd0b · outbound

This paper cites OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.007162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.007162Z digest=sha256:2369fe50e2ee62987ddf7bab244b513d6e56ed967734f59d7bac3a8c34e85400

Observation 55b5f6d5-e72c-4da4-a43c-b46a8fb141aa · outbound

This paper cites InCompanion Proceedings of the ACM Web Conference 2025, 413–421.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InCompanion Proceedings of the ACM Web Conference 2025, 413–421

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:56.202041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:42:54.198191Z digest=sha256:2309fd1268e7cc8de6e9bfd1c2742a4a0450f3574dfe19eeaa084c9e71e35526

Observation 6c7e3214-0d0d-4df5-9044-216089781599 · outbound

This paper cites InProceedings of the ACM Web Conference 2026, 1–11.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InProceedings of the ACM Web Conference 2026, 1–11

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:55.700340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:42:54.368251Z digest=sha256:132ccab20e54a317ac1d832bd6cf30d2ea69b0334935a660a23c9cbca534dfcf

Observation 71cdc579-1be2-42aa-8a8b-43c317ea6a31 · outbound

This paper cites arXiv:2602.22732.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval arXiv:2602.22732

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.495711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.495711Z digest=sha256:7970df5588e1512fb82c180c514bd0f88b3063fd9a6a291e201a0970e379ca25

Observation b0b12485-7973-4f8b-973a-89d5a5be76fd · outbound

This paper cites RepBERT: Contextualized Text Embeddings for First-Stage Retrieval.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:42:54.953649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:42:54.581010Z digest=sha256:91b8f391326fae5e74c26ea66261bd175a5a9ce33794fff0af4a25b9cd7e3b08

Observation 3044997f-5442-4599-92df-ddae2677201c · outbound

This paper cites Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.631124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.631124Z digest=sha256:507af602a42b4ab65d59a6ef4ce5e6a74109a9bddcad57fdb02d7dc5a74e38d2

Observation f50da04a-5fe5-4bf1-8ea4-ba391b8517da · outbound

This paper cites EGA-V2: An End-to-end Generative Framework for Industrial Advertising.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.716645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.716645Z digest=sha256:6714c57fd7a1b70eaa39b471838ad770520345edb8c542bab9a33afd65eb566d

Observation 82b71064-608c-43de-a650-ddb61687bcd6 · outbound

This paper cites Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.775297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.775297Z digest=sha256:355681cc9af8b6988d54ecc35e60f07f492b5f03278903568dde662263a7dd85

Observation 6098d07c-10bb-4887-958a-a0509f08d554 · outbound

This paper cites Transformer Memory as a Differentiable Search Index.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Transformer Memory as a Differentiable Search Index

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:55.460426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:42:54.444143Z digest=sha256:3e7639f6aaf4b7e5e5c5ee1dc82b25d9f146f3fd429c4b660669b6e173823b13

Observation e8b7bbed-a1d7-4847-af68-89165c6935ac · outbound

This paper cites OnePiece:Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval OnePiece:Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.909830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.909830Z digest=sha256:90cc9471569bfb495f7bfdc33ebcfb73864022d19eb735d05728cd8ab471d04e

Observation fe9a3337-bcec-4803-be8e-fa9969dcc846 · outbound

This paper cites InPro- ceedings of the Third Text REtrieval Conference (TREC-3), 109–126.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InPro- ceedings of the Third Text REtrieval Conference (TREC-3), 109–126

Reference 1995

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:55.952647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:42:54.300651Z digest=sha256:52f47cba45ac89eec34c0dc421ac4f6ef061b6ab1efef5a369eb7d9fa6e752d0

Observation c5651e72-e48f-4bb5-8487-a462a4c749c5 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.637623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.637623Z digest=sha256:78906a96e8b0c47993814daad9ba3f61fc212fd75d3c593c8fc826a537a09cb8

Observation 61dc917f-d514-40e0-9314-f7673a22258c · outbound

This paper cites Generative Retrieval with Preference Optimization for E-commerce Search.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Generative Retrieval with Preference Optimization for E-commerce Search

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.087119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.087119Z digest=sha256:804b07194c6d901ec566a8099c7177166385c48b09e8eb88e3e7b8c7e6e8871b

Observation ae552ce7-5046-4a74-9212-025a4fd0cf6d · outbound

This paper cites InFindings oftheAssociationforComputationalLinguistics:ACL2022, 1864–1874.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval InFindings oftheAssociationforComputationalLinguistics:ACL2022, 1864–1874

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:42:56.448173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:42:54.148640Z digest=sha256:14ec48a922f44728a65a8d1c4da5c25e814affde4b371ddc8910c254d91f791d

Observation 8f8cdeb9-66b8-49dc-9d71-a1de8b5bac1b · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:54.273448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:54.273448Z digest=sha256:9b4c4bdc02616a0f951e3867674ba4bf1d466c24fbebf8c61cf5529c6cac5b1c

Observation 0bfca400-1104-46a4-a992-542ee4ba6eea · outbound

This paper cites arXiv:2509.03236.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval arXiv:2509.03236

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.807440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.807440Z digest=sha256:ccf2412cbec13640bb7de0ddd41892732520be36702914c12d4cd43d672a5598

Observation 53ba6d1c-6d20-4f62-9f43-c6f16afabf71 · outbound

This paper cites arXiv:2602.08575.

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval arXiv:2602.08575

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:53.957560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:53.957560Z digest=sha256:7bd064b5ecd8124e4808b8966182de123d213dfffea3627bff5a72b998c1955c

Pith citing papers

No inbound Pith citation observations are available.