Pith. sign in

Paper Citation Record · LEDGER

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:98f21ca50273dc64290e3e0b70b44f1aa6ac55d88b3ae5bbe510cbd575a30bf6

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

source=pdf_text observed=2026-08-06T00:42:54.198191Z digest=sha256:562ba9fdf9a5312e535066a60917aae14027bdbbfc6bde1e13e217f948a995d5

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

source=pdf_text observed=2026-08-06T00:42:54.368251Z digest=sha256:2578373a0b7e78b4e307451e2026805a1bb33a4b14a3324983cd4a436f96e4d5

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:ac07899bbcd6450d1c7c499bea545e62f923741dad3ad5ec6070e84031cfb8fe

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

source=pdf_text observed=2026-08-06T00:42:54.581010Z digest=sha256:34f458925f0d92931b1d193c2edb8816f222c29eec5087ee61986467f06e1626

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:e366741331b8fc9287fa91b1f8ff6e3f68156c1ea7996f4a6e7459c0101082cc

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=sha256:8dd6e6df1af28bec9d0f6521ebc6d152b396f4a225c44446332f114886435486

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=sha256:7ff30d2d51da5ba6c8918eb1b107d35a910aef362523dc787bbb92b14f93b70c

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

source=pdf_text observed=2026-08-06T00:42:54.444143Z digest=sha256:b4320df6dfa484282eadb3063c4420a6e98e4cef315a97cdb6787a9ebd4c11a8

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=sha256:9eb725f720ddbec855dedb0932c621e893104afdbda9cbae54b9a89347ed5a5a

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

source=pdf_text observed=2026-08-06T00:42:54.300651Z digest=sha256:55c17026ed1f2035b419077ab13a561fb213ba9ce8fcb6de5bd9401b02a4aec0

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:e5f9c841a1310ca0d10e56adc6b3a15d11a8d2656e1163fcab83832fa945fea9

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=sha256:264c7839582dc7957f5b744da58d41f9d69f21f41c9ecad6cac8da5cf6bb607b

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

source=pdf_text observed=2026-08-06T00:42:54.148640Z digest=sha256:1627616da36625b68f1c1c4beac12fc9cc64237bdff123752493ac6386f705bf

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=sha256:39b0ab5f5698c8a0527b5e63204ba975b25c492021af523d04c90c82f18e6356

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=sha256:77ccd7cc1bdafbbd6392d11b800452603f44512768da177e60b93c0f24d5eebd

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=sha256:5dff13b292ea68bec537a1473238a0b7c0566b32094e645c6ef00bd9fe2de009

Pith citing papers

No inbound Pith citation observations are available.