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Paper Citation Record · LEDGER

Large Foundation Model for Ads Recommendation

As of 14 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 4 inbound Pith citation observations for arXiv:2508.14948.

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

pith.paper-citation-record.v1
2508.14948 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:30:15.202724Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:47:51.438120Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:17:29.369236Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff103b8f-68dc-44c8-ad69-5ecd3affd623 · outbound

This paper cites 2024.IAB/PwC Internet Advertising Revenue Report.

Large Foundation Model for Ads Recommendation 2024.IAB/PwC Internet Advertising Revenue Report

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:30:25.102851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:07.986683Z digest=sha256:adeb8369eda3be48abf2a98edbc4d337efa5e25d8eead5190b7ad0dbef57dfb2

Observation fb520842-0242-4c2f-8189-83f9edab332c · outbound

This paper cites LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders.

Large Foundation Model for Ads Recommendation LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.126493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.126493Z digest=sha256:f1bb1157461c4eeda70c8cc3e6ce72af0c800a5c18200e794ee420015fb4fa0c

Observation 81f5e2f9-4e10-4421-b504-333e5bad4c04 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.191257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.191257Z digest=sha256:d23e7f684e9d00dcb3be14b316151ecf603eadd4de3715435c80ee079817d87d

Observation 3e92856b-5f13-43c6-b838-98c8ba10865c · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:24.785548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:08.256515Z digest=sha256:6f581cc0147ee24d19601d47893eed2b6b6803896158b87229cf03335987708c

Observation fca20556-9633-4b59-aa80-7a629392a92d · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:24.581917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:08.296213Z digest=sha256:8b735de98aaf45e12ea0ebdbfc5ccd8575f5b0db047e090d6231748571d762db

Observation 01946a5a-a134-469b-a102-aade8f339264 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.391696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.391696Z digest=sha256:7d09c5d45eea6a9e51697036d4b2528b950fc44b83864dd04dd1a206c4f057b8

Observation 8d74b3c7-8e24-4552-9e4c-0dd09312d248 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.487317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.487317Z digest=sha256:035e0d0b8cddb200f7159675358bad77089dc340fe7f652f59ae7f5c1df9c750

Observation 52bff9c4-d9e8-4fb9-9fa5-026695bb8163 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:24.332779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:08.614713Z digest=sha256:8d434d82f31861a5b4273a6ef9487eb56a939bdaa60a35b09d272d7d2b3c0d64

Observation 7d197e57-4004-4c06-bcc4-5e110c62f97a · outbound

This paper cites Long-Sequence Recommendation Models Need Decoupled Embeddings.

Large Foundation Model for Ads Recommendation Long-Sequence Recommendation Models Need Decoupled Embeddings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.741340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.741340Z digest=sha256:691f323864e657a563480b626eae9d1f423c405566fe80d9e2a2626e1cb80d4b

Observation 635d522a-f4c7-4be6-b72e-bed1547813ce · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:24.167149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:08.794455Z digest=sha256:20d2385ba48b51eaf2805ce6a9ec89dc82f969e271854a15f04767c39f63d2e3

Observation 5c7acbed-67cd-435a-9f1d-7bee4b727398 · outbound

This paper cites On the Embedding Collapse when Scaling up Recommendation Models.

Large Foundation Model for Ads Recommendation On the Embedding Collapse when Scaling up Recommendation Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:09.099263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:09.099263Z digest=sha256:3240574911192974ebd1e55a8ba6f5425f6c05ee5edcb4f098aeac7bc24a088a

Observation 496e6b57-0686-4d15-8175-9c6b77eb0d3f · outbound

This paper cites In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems (Boston, MA, USA) (DLRS 2016).

Large Foundation Model for Ads Recommendation In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems (Boston, MA, USA) (DLRS 2016)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.678953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.678953Z digest=sha256:49b7fe1cc1f9baf0bab9e97ffb1f3fb0bc92f8fbb6bbdec0f28a9071ecac064c

Observation 7654b339-21b9-4bfa-a6fd-24abe586ec98 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:23.836565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:09.437787Z digest=sha256:e213208ef6526f9e1b3500a6fa1cc2a68becf0cf7e0999debf602ea0c4f11055

Observation e6d2908b-9a08-4ca4-9940-78f0d41d8fe3 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:09.571682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:09.571682Z digest=sha256:7a65106f3f4733b2dcaf3adaf1bec06fb4c89ac178d0ba7a14181af650ecafb9

Observation 4958aeac-bf73-428f-a356-deeb6c41ef16 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:23.652511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:09.800760Z digest=sha256:70c8747e5baa10053a58831c2d67a15c2517c6f5b1d9a2cc50466a09a6307e39

Observation dbcace41-8f1c-4683-8a1c-93b77c2ffc34 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

Large Foundation Model for Ads Recommendation DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.945768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.945768Z digest=sha256:97c53edf028c77603910a07510def0565663764b78b5f76457ea5c337a5ada7b

Observation 1922915c-9be2-42fa-8d4f-536aa6600a14 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:23.284401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:10.026982Z digest=sha256:c5fc8c89cff95a5a8cee7817530cb564da5a9f4fdefdfad6aa37698aa1df2fae

Observation bf0ddf17-8ce9-41cf-a56a-6baf9ed8394f · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:24.000913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:09.277937Z digest=sha256:6b4044b4827c3ccc2f8e61b64cb65a43d3344f25f05ecbe8a1a6283ee9c19898

Observation 71553b30-fe9b-467c-9c9e-1dc62a0f930d · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:10.420190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:10.420190Z digest=sha256:c470081e39a46669f73c132634a4b4c1cb75eaa789cddee20d8e3662db66c8ff

Observation 0e34aeea-fa16-42bb-93f8-682f64133e99 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:22.700690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:10.795773Z digest=sha256:2bc6291bdf6eab6d2a246875818b196baaef10119146fc09b0724c8abbc5c6a4

Observation 4c0b0d0f-1165-4a3d-b448-628c10305c1f · outbound

This paper cites CTRL: Connect Collaborative and Language Model for CTR Prediction.

Large Foundation Model for Ads Recommendation CTRL: Connect Collaborative and Language Model for CTR Prediction

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:30:16.511097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:10.890835Z digest=sha256:a37d9eaa87f7deb6f0fdf842393791d53cc2cba22f8e9304d2bf532b39d439fd

Observation b6232cb6-fb61-4837-8bd3-58ab4d29dbb8 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:22.506593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.004830Z digest=sha256:ab594198e43ad5d74c3c7696c5553e88ebb80e53d2a6bb4f84f596218863d234

Observation eb075967-36ee-4874-91a5-c9057c7d195a · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:23.499655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:09.874189Z digest=sha256:788f6cdeea1279706ccf4a3f2a044631db2e61bfac5fab7b93b4b9ee1a580500

Observation 0389e34d-0cea-4098-8e16-bd581526a311 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:22.021496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.165966Z digest=sha256:d2cc8c5c3d8aac6e67bf618acad20c4280da3c43c1a9a1f53a4cbd2c676cf126

Observation b111445a-837d-4e38-84f1-642d22efb1d8 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:23.097055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:10.186971Z digest=sha256:ee9cbf3ea7cb655911d8400896a2eac410d9d83041cb64c58280369b6569c6c2

Observation f37d46cc-d6cf-49ad-b6bd-a59922472e3b · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:21.871611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.372731Z digest=sha256:439f477f09a769e3ced593dc54e6c311480b752d015117e77558b124b5325926

Observation 2ef2cbdf-151f-465b-93f6-76e6f26f5124 · outbound

This paper cites ECML-PKDD (2025).

Large Foundation Model for Ads Recommendation ECML-PKDD (2025)

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:30:22.891298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:10.607093Z digest=sha256:4d4832e3e478179e8f5976a056a604e40791d431296cecaaf3406693bbebe5a5

Observation 46d70b32-6ec6-4df7-8f25-2bf6f80ccb6a · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:11.561735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:11.561735Z digest=sha256:644206db727dd93e818f67dcb7f180a078b91c9379f508ca0ccc7712fd5c6511

Observation a29cbbbd-0887-4939-9269-166f1261f8bd · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:21.454808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.808021Z digest=sha256:8fb7f9b784bd43734f7d7c37610de310a5807853fac0acf259a5d4f1f2753fcb

Observation 33959f69-6a58-4def-97de-bd8cfd93cf21 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:21.209974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.884252Z digest=sha256:fdfeda8c3d53272390f41ece72c04f64d5588603fa71c8028afa92f51f1f899e

Observation 7bc67785-79f1-451f-a88b-eb3e8a7b3c4e · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:22.228028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.095258Z digest=sha256:954ca3889477215b6d5cb3c4bdd9a602834f67c2c0b26d1b6d6da13dc8083a7a

Observation 759d4c95-dc7d-4576-b3d0-cf6a87cce600 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:12.051174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:12.051174Z digest=sha256:9b397147a7b472900ef81c1a33de1b8690f9bc44dc408481d4e2785bcd789b7c

Observation c97b1154-cd9e-4e39-965f-e6c07e4589e4 · outbound

This paper cites Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation.

Large Foundation Model for Ads Recommendation Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:11.258980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:11.258980Z digest=sha256:6986696ab179103deab16c64584c348cf15b93ffe27064ba3d02280be8200885

Observation 669de362-6535-4e35-968b-604dcb7561db · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:12.258359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:12.258359Z digest=sha256:103c0bd81ba921f9bd7504626fdf5a43f96f9a302b37884a3e5a02ac3498acd1

Observation 21a8cbd4-7eb3-4116-b2a0-6b98632242c7 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:21.678659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.477094Z digest=sha256:dd8682a37313f4f5cf8af616edc7e1593fd08960c952254655fd5f7ebbcb5b55

Observation 5d15548a-5e7a-4d5d-bdc9-53e43da1e63c · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:12.436698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:12.436698Z digest=sha256:52c37262c5b0cdd4dc66246b11454b03c7394d151d3d2635942a918508433b90

Observation 6e1842e2-dd2c-432c-ba70-d6a419963b69 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:20.639610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:12.554232Z digest=sha256:39e2deb8fc32fa4c0ee03014edb7a14a8984d5fea04fbb23c8daf75040382cf8

Observation 39184037-54ec-44c7-be41-531fad6feb38 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:20.407859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:12.622083Z digest=sha256:ff50402cb13727a0b7d4ae12347f4c02d4871949455c96e7a6548a5a0473dccd

Observation 806db9e4-8958-4385-8c5f-311b70fd22f7 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:12.742757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:12.742757Z digest=sha256:a7f557b1143933eed356de85cbe7b7913eb415e5257b4964d1ccbbd1df764115

Observation 73e76f56-2c22-4093-bd4a-c49b2862e01d · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:20.996661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:11.971661Z digest=sha256:83e7fc840224fb9fdbc59222998d34f553cca77ccfe6d1608c3f52ef3043454a

Observation 6b9a66aa-4caf-44a5-9be6-6d208e26edcc · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:12.901375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:12.901375Z digest=sha256:0bb1fb931eaf767422cf5d2dd5a566adace352bfee7ad4180659e815c4474cfa

Observation 266da946-f832-4816-a166-c12b9fb62c85 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:20.792060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:12.136637Z digest=sha256:3c774bf5172cd7c64994bd568e02bfa36a2b981004f8e9d44936494dd2d2be13

Observation 243595ea-7160-4bec-8f9c-6ad1db8c2345 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:20.029118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:13.171853Z digest=sha256:0d479553b012f34185197f1b1bb638992c2822685b28051a26cf3e2f3b1c29f4

Observation 2c006a30-188f-4091-8dec-b52f8aff8a41 · outbound

This paper cites eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.

Large Foundation Model for Ads Recommendation eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:30:16.236335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:12.350245Z digest=sha256:32fc64a6571a01daf0bec9a26ab7f0da77fe660de83c6879a674e4b69b9ca101

Observation 78b030f7-0f30-46a1-84a9-ea73fe0e7451 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:13.490990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:13.490990Z digest=sha256:7a04f960653c1410d9b9bb5d65686a62ce30d8443fdbe11a3d035416b487240c

Observation 577cbb6a-5723-483c-9cc2-a951343c2b2f · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:13.599894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:13.599894Z digest=sha256:fb830dc68f43034466bf547a2a08964e354defbda54c0b71856157f82d7a3710

Observation 15827d45-2f2c-4543-84b5-78869f1094b4 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:19.467821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:13.732808Z digest=sha256:d3c8f09ae905b256e3c3c1ef9ec63b29b3b2ea6b72e04bf7c2b8d05439ff68f4

Observation 540ff7b2-cf05-4de3-a276-9d5a39463cba · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:19.248306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:13.816066Z digest=sha256:242954037ce120cc3909496f7c4808ce52d7799ca1d0caff7e8d5d6d9899b7e3

Observation 6447d8f7-0cd1-424e-99ca-65bc34d61103 · outbound

This paper cites LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.

Large Foundation Model for Ads Recommendation LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:12.818840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:12.818840Z digest=sha256:52c3fc3836a2cc75cd912a5f8718835b6b055c9e24f9215b6f0574efd5985684

Observation 69221f0c-9f7f-4675-8090-7126392cf970 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:13.971181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:13.971181Z digest=sha256:cb76a27b8b6105a61ef81ee610d0c43745d9f3adc6394512c06ae84b438a7d07

Observation ddcafb1d-5ace-4832-b6cb-29b426c228f1 · outbound

This paper cites InProceedings of the 33rd ACM International Conference on Information and Knowledge Management.

Large Foundation Model for Ads Recommendation InProceedings of the 33rd ACM International Conference on Information and Knowledge Management

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:30:20.201229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:12.981771Z digest=sha256:b0207b8c36e84b93e6e2000bf865350dbf99174e6a5bc111b9b81872ffe8f434

Observation 30e8a200-edd9-423f-bdf5-38601fc37753 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:13.061958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:13.061958Z digest=sha256:87e8d550e647ed8af97b6c49af0acef979d11a2588db54808c17d4bc51bacaf8

Observation 7fb9a4c6-272e-40af-bcb7-08380658bfba · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:18.542301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.278173Z digest=sha256:7b6a555fb1220fb479b75f0683fe983d612bd8ef37fe30b38ccb4ad11f477547

Observation 727e8d75-44a6-458c-aa1d-35aa9d94f08d · outbound

This paper cites LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following.

Large Foundation Model for Ads Recommendation LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T18:30:15.993466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:13.280658Z digest=sha256:0416d154a8f215bf523e1faadd24d1ca59598d512549413acd5199b0e7e47d01

Observation 3740cdb9-4c97-4c36-8f77-adfce6b46759 · outbound

This paper cites TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.

Large Foundation Model for Ads Recommendation TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:13.383422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:13.383422Z digest=sha256:726356971f7951b9c3cb107c6799b790e631dcb234819235794f78d8cf38af59

Observation 8159167d-5ea9-43a0-90fd-752e7f79c7e9 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:18.202504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.515419Z digest=sha256:ccf7decf9fb1b9282524f36ca1b9df66aa63d5d44db7c5ef4458125aabe60050

Observation d11c10ef-3e5b-46c2-a49a-24775a9fb893 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:17.975733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.607328Z digest=sha256:d36a7cba366e652dd33113ae62732795167935baec2e33bb0e1a9a57bde232a2

Observation 00fd148f-f210-40e6-9bc9-89953b20908c · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:17.796315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.738553Z digest=sha256:be2c9789db7d545f4bb5e845e5049bd5715862bd7c20b3752dbee0b0b11d00c5

Observation 5d9f68dc-f4bb-4b59-8711-b623afb17691 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:17.582224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.846153Z digest=sha256:d1615ef7a1e619f3b32074ee6f3e4d5e8b5f3691fd0d6f9559d12293056eb1c9

Observation 3dfa4563-6ef0-43a6-8541-0cab43e88ac3 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:17.387785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.981982Z digest=sha256:39b5cbc14359b0f5773f06f56c7960fe8751d4b4b314a54cf8edaa71b1b95ad1

Observation dfe329f6-670a-4982-9479-90340d15f2db · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:19.016298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:13.902247Z digest=sha256:1b4b3e578e28312d143dc1506ed1e43842bb77523a4ae535da4522ef5e5eab5a

Observation 9dbeb49f-b67a-4713-9bcc-4570ed2f66b5 · outbound

This paper cites RankMixer: Scaling Up Ranking Models in Industrial Recommenders.

Large Foundation Model for Ads Recommendation RankMixer: Scaling Up Ranking Models in Industrial Recommenders

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:15.202724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:15.202724Z digest=sha256:625ebae1ee85b6767f51f928e9099f4bfeee258a94022143a693e769a6cd6efc

Observation 3ca815f4-aeb3-4181-8f04-9b124829c86e · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:18.827441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.055324Z digest=sha256:88fdbf8a95cfdb4e6ad2f8f40a13015c3887deedcbc43c467ad78aca7cfa5475

Observation b38a121a-956a-4ef0-890c-ddd020685eac · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:18.706464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.149578Z digest=sha256:f9737c0d434341a55fe56e521164f51b3877b7ed1895bece74b0f7f9267b7656

Observation 486ee098-96e8-4219-b65e-7f738c8888a3 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:18.414045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:14.358727Z digest=sha256:f01b6fcc214c5caa5825c988b9de975b8404574bf259c65d4d08b6fd6e651e74

Observation 9f1818ed-20dc-448d-b6ca-0aef03c9d922 · outbound

This paper cites DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction.

Large Foundation Model for Ads Recommendation DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:14.431232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:14.431232Z digest=sha256:1036776e30921cdd97d7a3cc0f09e6b8f772073352162368a43fd81d5c35a915

Observation f3fdaa90-58f8-4a00-9f38-2097d0d24f4c · outbound

This paper cites HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction.

Large Foundation Model for Ads Recommendation HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

Reference 75

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T18:30:15.662276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:15.077670Z digest=sha256:7ee6e7c5a500c04e6fd64bbe29e20393ee88df0de589fea618dfd6ab5d68badb

Observation b778378e-6f61-4418-893d-eb3820299a56 · outbound

This paper cites Generative Representational Learning of Foundation Models for Recommendation.

Large Foundation Model for Ads Recommendation Generative Representational Learning of Foundation Models for Recommendation

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:30:15.464690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:15.139922Z digest=sha256:dc96a7d0a2cf48222f6825f5600c6f8fdb3da655245312aadbfd5e7a9fbe3a50

Observation bb420015-8074-4cfd-b3f4-1b3438903022 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 320

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.833517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.833517Z digest=sha256:40c6aa7b57b123e096e283f4c283eb9fddde74d0e31b763db7fd36b69646234c

Observation 98ad6bcb-2f26-467e-96f7-4c6572f656af · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Large Foundation Model for Ads Recommendation Session-based Recommendations with Recurrent Neural Networks

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:09.705266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:09.705266Z digest=sha256:0ac87b7e2e06e8ff1baf1db42e18a9b79b1fd9b4459a4d2d992484cb3fdc9996

Observation 211b8869-4f10-4e90-9ad9-b8a221efac33 · outbound

This paper cites In Proceedings of the 1st workshop on deep learning for recommender systems.

Large Foundation Model for Ads Recommendation In Proceedings of the 1st workshop on deep learning for recommender systems

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:08.427369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:08.427369Z digest=sha256:5c8316a3feb18a59369c37cbf045bc3fd70e5c188c3f20a1b187398025b5340d

Observation 3f733850-fd0c-48a6-851f-d509cb211b60 · outbound

This paper cites In ACM International Conference on Information and Knowledge Management (CIKM).

Large Foundation Model for Ads Recommendation In ACM International Conference on Information and Knowledge Management (CIKM)

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T18:30:19.747094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:13.668392Z digest=sha256:417c87723f076e86a62da36bbe2642ff2c277effef45f5c90c00c445ba67443e

Observation 20adc731-5e51-4053-a136-abe8db133b23 · outbound

This paper cites FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.

Large Foundation Model for Ads Recommendation FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T18:30:11.686154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:30:11.686154Z digest=sha256:9388199b31ee2b97a829d5158f0db4220349cef6e5bbd809dc1012631ed3ca70

Observation 89b890d3-0225-4e95-ae23-44030ebdfaa5 · outbound

This paper cites an unresolved cited work.

Large Foundation Model for Ads Recommendation Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-05T18:30:24.963042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:08.027551Z digest=sha256:d570c4b72ab40bd6d5090feaec7fc0f3d67675377e73da2bbfce67cd5e8e4f52

Observation 98c6fa3e-8d92-4372-8bdb-0040680e5d00 · outbound

This paper cites PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform.

Large Foundation Model for Ads Recommendation PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T18:30:17.044023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T18:30:08.335045Z digest=sha256:e56603149d9353ce27ff6b4415957d1d31082f56303036b26282eb74198f6cc2

Pith citing papers

Observation 3e82b6c8-1f40-42d3-b33d-c7ff5557d27d · inbound

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems cites this paper.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Large Foundation Model for Ads Recommendation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:56:04.672291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T04:30:22.404616Z digest=sha256:4e4675ccd5ac526d6e17b2936c8dd4dfeee7523987ebf6812bf2640e5fd5d8c9

Observation c734f2d5-3168-4f2f-8988-0e8cf7335a9b · inbound

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems cites this paper.

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems Large Foundation Model for Ads Recommendation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:17:29.371972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T07:14:03.733251Z digest=sha256:7a75e67a74229f593f38986accd7254f6ac5068c2f1d54711dbd9267cb1ca5e8

Observation 67641885-8cf0-480b-822e-7618da32e8f0 · 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 Large Foundation Model for Ads Recommendation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T15:42:21.887390Z

Source-reported events for the cited work

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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 Large Foundation Model for Ads Recommendation

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