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Paper Citation Record · LEDGER

EGA-V2: An End-to-end Generative Framework for Industrial Advertising

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 17 inbound Pith citation observations for arXiv:2505.17549.

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

pith.paper-citation-record.v1
2505.17549 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:06.555775Z

measured 61 of 61 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:39.459990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:38:39.864363Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f54706e-ecff-4c0b-9577-c9f25c6ea98a · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:09.779536Z

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.

source=pdf_text observed=2026-08-07T14:50:01.366407Z digest=sha256:d3764514ee595ab02cf556f91c90dcc340c4d77ddcde792b63cd9a31cc30fd38

Observation 8b31ff84-910b-4915-8522-d71e04c8ef69 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:09.674140Z

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.

source=pdf_text observed=2026-08-07T14:50:01.512757Z digest=sha256:eddacffa52fa14e5554cb6d07757163ca3a025cab377fb9f9d1d38010a6c1c5a

Observation 9586d92f-5cbd-46d2-84b1-ff3ba3476c17 · outbound

This paper cites Autoregressive Entity Retrieval.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Autoregressive Entity Retrieval

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:01.653521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:01.653521Z digest=sha256:691a0fb42d2247ec7098d7602ab098471cdfad5a25566d88b26fea6486b12b2d

Observation 2d804174-0975-4a2c-a322-3a1f9ff0210e · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:01.770315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:01.770315Z digest=sha256:b7405b7cdae894253e714645349d68292d895528e04f2aaaa188078696b586c6

Observation 26292f72-bed9-4bcf-9c20-4254cbdf2502 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:09.554683Z

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.

source=pdf_text observed=2026-08-07T14:50:01.868149Z digest=sha256:cfdf31bec4030cb600f15b778ce5a812fd4aaa8280916c29ac6f7de0a5929c8f

Observation c2a26cc7-c0d1-45aa-b51f-65f13e5f22ee · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:09.456355Z

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.

source=pdf_text observed=2026-08-07T14:50:01.952701Z digest=sha256:8a6814a1bd690da7e5a3039da97a4422d9e5d211aeedfff71ca77464b67b1f3e

Observation ccadfd55-5ee9-4cd7-95d0-31bfd356d1c9 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:09.203707Z

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.

source=pdf_text observed=2026-08-07T14:50:02.096507Z digest=sha256:2458201e8581bd51f99db581a9904c09f2c5a2bb394b7a2e2ad47b3231293eac

Observation e2b1c023-5a83-4cd9-abdf-21edceaacb48 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:09.074065Z

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.

source=pdf_text observed=2026-08-07T14:50:02.181968Z digest=sha256:91979804148b45a9a2bc9f88d111b92a9774d7fb7b68e50267ba3866364bcf25

Observation 79668059-07c8-4b9f-8659-df44a34431d0 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.947823Z

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.

source=pdf_text observed=2026-08-07T14:50:02.285308Z digest=sha256:dc8bc4b11b43acff670c26ffda0effeff24bbc0188d3ce830a695fd62514245b

Observation 3351aca2-e189-41f7-8339-3b503ba1d4d4 · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Better & Faster Large Language Models via Multi-token Prediction

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:02.404369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:02.404369Z digest=sha256:2b83840a77236fad3af5e5eb140241d6250c01186a76023038c57a048bf80128

Observation 83e4cdc5-de3a-49d0-8d19-ba90b727bd57 · outbound

This paper cites On Ranking Consistency of Pre-ranking Stage.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising On Ranking Consistency of Pre-ranking Stage

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:02.525132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:02.525132Z digest=sha256:7d5882ab2169d1e6f1edded7de99f7deb03a91d4aa6c5df201535480f2563166

Observation 97ba9de3-aba6-4d8e-92e1-c9dda71f3719 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.845752Z

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.

source=pdf_text observed=2026-08-07T14:50:02.616926Z digest=sha256:3259f92fcd840b21899a2b515da4b783e9762e9e74c25d13acda292eacf206e3

Observation 3b098eaf-0947-497f-adff-f5beccaae007 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:02.732546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:02.732546Z digest=sha256:66290cc5996970aa5f3bf2b56c756d2b45c58db29ffef878cd11bfc90426d099

Observation 4decb406-2d63-4adc-827b-574ba63cb36e · outbound

This paper cites NMA: Neural Multi-slot Auctions with Externalities for Online Advertising.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising NMA: Neural Multi-slot Auctions with Externalities for Online Advertising

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:03.004869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:03.004869Z digest=sha256:33c2c4ddbb6bfcb9362d6dfb30a52e5067c0490e18fa7ad30756cd7c5aefc87a

Observation 7d21bf9c-acc4-47a5-9d27-07dd1023544b · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.727638Z

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.

source=pdf_text observed=2026-08-07T14:50:02.862960Z digest=sha256:7f0d200401a180589269989b3d30817d6af415b65463fe3fb01905fe3eec6adb

Observation 41f2af44-f5c0-41ff-8a11-765bd4dce679 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.421862Z

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.

source=pdf_text observed=2026-08-07T14:50:03.264785Z digest=sha256:d7be5a6006f39eef19a2ce2782a1794b173d24b29b86cd99e51e5a334544de04

Observation f8f7f445-fcd7-4c05-a7ed-cb2609906491 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.586968Z

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.

source=pdf_text observed=2026-08-07T14:50:03.117497Z digest=sha256:34ce086288379eb28f095bbd11685d6ffacee24f0caaaf6644920c42e7090c4b

Observation 5133f5a3-3caa-441e-9e62-431704a13a0e · outbound

This paper cites MMGRec: Multimodal Generative Recommendation with Transformer Model.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising MMGRec: Multimodal Generative Recommendation with Transformer Model

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:03.463863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:03.463863Z digest=sha256:c5325a5b2542a4f06969307dc2ab030ff30374b3dcf673a246b81ba392358c61

Observation 91f02b92-09e1-4c1e-9a81-0d733e08de7f · outbound

This paper cites DeepSeek-V3 Technical Report.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising DeepSeek-V3 Technical Report

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:03.369235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:03.369235Z digest=sha256:8dbbb8a5caf03c5d9268f0a8195a7b36edcbf10fa5d977ebcd89725f7cfdce82

Observation 7dc37991-ba6b-4f15-a369-89788cc3ac44 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:03.743946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:03.743946Z digest=sha256:7458a3a7e4b1fb6d41322cbaabd629a46a15c22c5aea5720702a072b5ed6b795

Observation 546ceaf5-8404-482d-93cb-6050928c29b4 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.188773Z

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.

source=pdf_text observed=2026-08-07T14:50:03.589400Z digest=sha256:81cecf86a089fcc7d0dee70d5b45901450be0ec3048f288a65441c3354772930

Observation 1fb29bca-c3de-4272-8978-5d83a4462149 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:04.108749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:04.108749Z digest=sha256:419000d41a56d7a4ab94190c56c00c9cab9b94530cda68aea8685368b4a94445

Observation e371c48b-f772-4c65-aa61-90f1435326ac · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:04.221121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:04.221121Z digest=sha256:fa55ae390a2c54bb58772fcd0b16b899352a445a3a9fca328726d0df922d21e4

Observation 359c0096-dafb-4d32-a86e-a248147f836d · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:08.025613Z

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.

source=pdf_text observed=2026-08-07T14:50:03.975787Z digest=sha256:6f8502d9d06618992b205b8339836cdccb07fb54b8f507d38950a7444bac3d08

Observation a899f00d-3f71-4f0e-a54d-729adab14331 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:07.880286Z

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.

source=pdf_text observed=2026-08-07T14:50:04.457656Z digest=sha256:c34820cd1c978d14ce21eb904aca6ab950a374863b90cbaf2c9072a3a8507187

Observation b6b7c339-0cc3-41e2-87a4-642f5f8ef565 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:04.611273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:04.611273Z digest=sha256:fdcc0d53eb02985f948b4f8d8a5d98ae298eb533b5ac2c36a569ae4a5596ad7f

Observation ee7adda1-eb9d-49b6-9aff-82ec82c09d9c · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:04.318920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:04.318920Z digest=sha256:425edfc0c8dd69b6152d55292b6d7e249216234cd4d13aa67b4c1cbfc39fbe8c

Observation e35afdd8-7c5e-4d8b-81f0-45397359fc53 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:07.738424Z

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.

source=pdf_text observed=2026-08-07T14:50:04.885335Z digest=sha256:0beb6132d56427f5f57222e98d758c6e140a97ac440835570b53142f0e17e18b

Observation fe1a12e3-9c51-4664-a907-671d1dbfaf04 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:05.013860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:05.013860Z digest=sha256:2e4530b692c80dea2427f4a7febc2241a43d747675333d7b16ff6f6acbbaf605

Observation 118de9a0-bd8e-42d3-85f7-ef879ed05afb · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:04.739092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:04.739092Z digest=sha256:a3d1e32ace22d6680a9a8e760dde992fc16f65782afb7ecb285fcd53b35fe12f

Observation 60e25a43-2c3c-4071-ab85-3909c9292d1b · outbound

This paper cites Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:05.281203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:05.281203Z digest=sha256:d5836b01d4f13b5da824e925ec007e489989f18eedf2049cd788a46347ad818d

Observation f3972468-9bc0-4afb-8dbc-3a0278d8b4e0 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:07.422379Z

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.

source=pdf_text observed=2026-08-07T14:50:05.431250Z digest=sha256:10473792aefe016cd2b3a6cee0a466abb7a1f66c34592305a6fc149d7b7aa4b9

Observation 695ef138-d8a6-4f0c-afd7-eec7fb2df4fc · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:07.602616Z

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.

source=pdf_text observed=2026-08-07T14:50:05.137103Z digest=sha256:45f6a02017d86703f8eafe7bcc449c6b7f7cee4dc1236a2a8a63b1b95103f4c8

Observation 6c75c24c-faf5-404e-b978-f11ee77b0665 · outbound

This paper cites Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:05.693391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:05.693391Z digest=sha256:ce2636e87558022f4f1ae8df05cc1f66dde50c9cd1be229aa21314994c12f3b5

Observation 4938c8e0-4a0c-4a9c-9895-2db51580b748 · outbound

This paper cites A Survey of Online Auction Mechanism Design Using Deep Learning Approaches.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising A Survey of Online Auction Mechanism Design Using Deep Learning Approaches

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:05.792943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:05.792943Z digest=sha256:585fe82fad3a4afbc2b67401cab1c38b6132c0adf6612e2005721fa7e3b115f5

Observation 70f0edfc-86e7-4295-9b97-912407743dea · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:05.560257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:05.560257Z digest=sha256:fd4923e9e8c6ee3fc3c5df8fac5be099e80aed20cd51bf23de91d09e543dcffe

Observation 3bb0710c-dbe2-4495-b9bb-7850f3d504c8 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:50:07.212328Z

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.

source=pdf_text observed=2026-08-07T14:50:06.022715Z digest=sha256:03e3bba2ce6d8266a4d6d125689086b6ab0b030bbdcd452edde62fc5b63fa55a

Observation ac0d9f71-3e84-4c79-844d-b78b07f08607 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-07T14:50:06.150224Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:06.150224Z digest=sha256:bd93c7a37814467e4136322668fbe0faa3ca386e8ab6da2f9c4565af97402546

Observation 18ce6cda-8945-4627-add3-cea73fd0e238 · outbound

This paper cites Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Rethinking the Role of Pre-ranking in Large-scale E-Commerce Searching System

Reference 39

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no resolver link, observed 2026-08-07T14:50:05.918556Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:50:05.918556Z digest=sha256:40d08c9fb9fc877adad90f4fca73826f490dffdcf1ebc3b11445f35c8daf7658

Observation a41b7366-2a0d-4ba8-b621-2dfb32975eec · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-07T14:50:06.422581Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:50:06.422581Z digest=sha256:139f4b8eaaedc9e5cbfb5a1ec7ae5a975dd62ce5c2e92dd72cc3702c394ebf74

Observation e62b32dd-3eb4-4990-95e1-40f104308cba · outbound

This paper cites Contextual Generative Auction with Permutation-level Externalities for Online Advertising.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Contextual Generative Auction with Permutation-level Externalities for Online Advertising

Reference 41

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no resolver link, observed 2026-08-07T14:50:06.555775Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:50:06.555775Z digest=sha256:d1c85566936ce1ea642346f84327732e42a6f0a88780b293154c72bd00c3ee20

Observation 5d4faca2-c873-4597-bf76-018167b6a5c2 · outbound

This paper cites an unresolved cited work.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Unresolved cited work

Reference 42

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unresolved
raw_fallback, observed 2026-08-07T14:50:06.978524Z

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.

source=pdf_text observed=2026-08-07T14:50:06.274169Z digest=sha256:069d00216cc5880bdc9c73fd1152263323c3fcce3abfc133541738a70cb590bc

Observation 72078e32-c178-4891-92de-4ed3046a0740 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2023), 10299–10315.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising Advances in Neural Information Processing Systems 36 (2023), 10299–10315

Reference 2023

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no resolver link, observed 2026-08-07T14:50:03.856238Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:50:03.856238Z digest=sha256:0a090d646cac7c060fb34f08441f64ff3634a1feff7556d460e08097740b8836

Observation c0c571e1-67e2-424e-823b-0e33d57f9971 · outbound

This paper cites In Proceedings of the ACM Web Conference 2024.

EGA-V2: An End-to-end Generative Framework for Industrial Advertising In Proceedings of the ACM Web Conference 2024

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-07T14:50:09.326580Z

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.

source=pdf_text observed=2026-08-07T14:50:02.020847Z digest=sha256:f631824f1306d38eb3049a24d7fd6290b383faea2476ab4e2b359cecb29d08f8

Pith citing papers

Observation 1e51071e-e2a4-4fd9-828a-bf1c48a5ab0e · inbound

NGA: Non-autoregressive Generative Auction with Global Externalities for Advertising Systems cites this paper.

NGA: Non-autoregressive Generative Auction with Global Externalities for Advertising Systems EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 31

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no resolver link, observed 2026-08-07T10:20:36.340876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:36.340876Z digest=sha256:d1a8e42d1f4df9ccfcebf7508fbfd5b0ce46a937daddd747aac9a32f5e367ed3

Observation 1efa6bb5-b3c8-4cf5-85e3-e0a883321b86 · inbound

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

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 54

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no resolver link, observed 2026-08-07T05:52:06.530867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:06.530867Z digest=sha256:1948ba80ffe27ae6672f432150962fc952ab319b10fd5fa7772225a19b0ea8d0

Observation 2d4d1142-75ac-43e0-b574-a6862cc11c4c · inbound

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks cites this paper.

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 63

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no resolver link, observed 2026-08-06T23:49:20.108033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:20.108033Z digest=sha256:4291c691b83a56d25f9236bcededad92a845281359b9054e98933a31a6e15e63

Observation 5e015e8a-55b8-4ab8-b944-55faa42d7e16 · inbound

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets cites this paper.

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 25

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unresolved
no resolver link, observed 2026-08-04T15:17:07.630714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:17:07.630714Z digest=sha256:59c353cf617d6b6e5cb6fff3119f626023d3c7598a91a868f37781f9e28b41ef

Observation bd141ec5-4525-40c1-8f68-035cb4072e24 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 243

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.002068Z

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.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:3449211d203bd5b401d7ed4ffa36f979bb06f9258ef1bce6291f62e3e5465197

Observation be13a497-98ee-4667-b261-e7f02aef80a0 · inbound

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation cites this paper.

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 36

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no resolver link, observed 2026-08-03T04:15:19.267397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:15:19.267397Z digest=sha256:4cc6cc31e0b53bcb28d8e1e72737a0be3512961564f06177b3f343b871590ca0

Observation 5797d188-4888-4f24-99be-b63c48a8a932 · inbound

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan cites this paper.

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 26

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verified exact
arxiv_id, observed 2026-05-13T19:18:09.337127Z

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.

source=pdf_text observed=2026-05-13T19:16:17.841338Z digest=sha256:6e6c75003128abbffe673f9762e6c4225414903dfbb221ca9d8ed30c2872e3a0

Observation ebf1af00-83a0-4fb8-9f40-5ea8d55ed798 · inbound

Noise is not always detrimental: the capacity of quantum batteries is enhanced in black holes cites this paper.

Noise is not always detrimental: the capacity of quantum batteries is enhanced in black holes EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 62

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no resolver link, observed 2026-07-13T09:29:29.046109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:29:29.046109Z digest=sha256:75113d62a2b4b5353475b1a4902af6aadda3949c37eef16e9d61072c18fc7746

Observation aad69cc4-5a8b-4a63-8414-83e2888b43ec · inbound

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation cites this paper.

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 62

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verified exact
arxiv_id, observed 2026-05-10T22:30:50.740247Z

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.

source=pdf_text observed=2026-05-10T19:48:25.382343Z digest=sha256:f5afe2debf48e40a47af67dda264715a6bc243737aa93fda321beca89f10ed56

Observation 96513730-d4cd-4f5e-8b48-26f8bd18667f · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 29

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verified exact
arxiv_id, observed 2026-05-11T21:16:26.066424Z

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.

source=pdf_text observed=2026-05-08T06:06:49.422159Z digest=sha256:285dc050f107733835562df8b688a059e3ba25d50886a581e84977ddd05849b7

Observation eb3fb5d3-a964-4c5e-8438-d2fbdfe95463 · inbound

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent cites this paper.

UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T14:47:56.180060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:47:56.180060Z digest=sha256:9672c0d8f29f19322668b118b92c0f391bb52cebb030384d43ec4eee07ad38fd

Observation 577a0d93-0204-4b07-aa9d-b7287dfae108 · inbound

SSRLive: Live Streaming Recommendation with Dynamic Semantic ID cites this paper.

SSRLive: Live Streaming Recommendation with Dynamic Semantic ID EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:07:21.853827Z

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.

source=pdf_text observed=2026-06-27T20:58:45.808333Z digest=sha256:4ae5f011cbeb0bdeb07cdee241e7f0d1107be2373f94148a7bf8bf9b97d68c3b

Observation 5f0eddd5-c323-4276-ad25-eb20b189e539 · inbound

OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model cites this paper.

OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 33

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verified exact
arxiv_id, observed 2026-07-03T16:38:39.866936Z

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.

source=pdf_text observed=2026-06-27T05:21:23.186557Z digest=sha256:149cc2a16ac59f1446e37d7a1fc5603e1f9738c635156d98116962810f724a6e

Observation ec4def13-b6b3-4c6a-b438-dabb54c9342e · inbound

HGenPush: A Heterogeneous Generative Recommendation Architecture for Industrial Push Notification Systems cites this paper.

HGenPush: A Heterogeneous Generative Recommendation Architecture for Industrial Push Notification Systems EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 26

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no resolver link, observed 2026-07-12T03:01:20.649010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:01:20.649010Z digest=sha256:170a978184f6c3091e3bb1563ab833d9d0324151f893fded750c8792c29cf793

Observation 211d3016-cc96-4d13-a0cb-68cabca31229 · inbound

TSGR: Taobao Search Generative Retrieval cites this paper.

TSGR: Taobao Search Generative Retrieval EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 33

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no resolver link, observed 2026-08-01T14:25:22.326604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:25:22.326604Z digest=sha256:757c8d18f07304c11eff79fbb671b68c55d24642a3118e0acebeef289bccc06d

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

UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval cites this paper.

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

Reference 16

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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=sha256:303a3006c99fb1109f5e4f7ee794dda2cd49897effd2ab413669e812315489f6

Observation 50fd5130-9f31-42b4-8863-8431517e5e5b · 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 EGA-V2: An End-to-end Generative Framework for Industrial Advertising

Reference 31

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unresolved
no resolver link, observed 2026-08-07T12:26:39.459990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:39.459990Z digest=sha256:2bad82c8cc2be7003e923e31d8c59d365fcabb917e54bb42a5247c5769c41638