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Paper Citation Record · LEDGER

Large Foundation Model for Ads Recommendation

As of 8 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 2 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 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:14:03.733251Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:07.986683Z digest=sha256:36d5a2f42036f8af565f4bcbd261a2990d7b57a80490601906dc44c7995a6c7c

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=sha256:4693862a487d9b338b21f8209ac7e625c25d62416d0cec4e94a099716f77ad7f

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=sha256:95da7daeebfffa75d4434fe553c2a8f1203b3d9d43fd25394ad08ca88e6d0486

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:08.256515Z digest=sha256:562dad689e48feaea1c6b10b61efeeb7c8d871c67427af66b1c768cfd7b55fdb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:08.296213Z digest=sha256:80ec74dcffe872396140b011f15268cb129e7497fdd2d8c9b36c96d5fd199ede

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:accbedc73a7a1592d58d69024f71c1c3febef560a4491026a5564cfbd719304f

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=sha256:4c7ffc2824aba6e06e820a958fc617c8c8489e98ae160bdfeab30a1fb27675b7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:08.614713Z digest=sha256:8385b626f1ffb2ff9e18d723792078bc7b22a856e291d810ea8743b6d6c5cc2d

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=sha256:12be1a41c64af020e2cad59a5398b1229ca2deca06a80fab4976138de638e966

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:08.794455Z digest=sha256:bd409495a32a988a4cb0999adeb68a13c386b5516c861f3856f171fedcb46c40

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=sha256:9528608fe2933310c7181d400e4af199a8745b40a00608820d4a22cd7e35a6df

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:f9d15a3684e1558020d389fb3fb6b40354c42aa82eed7112515053f5b60c29d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:09.437787Z digest=sha256:1f0f1a4c03d1251ae20bf9338fc99645457dc6e9a33b3cad65b1a8b1a0453e22

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=sha256:18c4f08cf073bf30763b048fa35bf09af95c6de7f8d5dc2ac928b1289869483b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:09.800760Z digest=sha256:0a54e469e65f34385babd3d224c5c3e596ac6cf5d5d92904edf9c49e0f73fc0a

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=sha256:8e25dc87a101dc688c064758ae6f7c18c403a1256e5c3b3cb220cc5af579dad9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:10.026982Z digest=sha256:896a786485784bc3d751d3e48947f3ae337a4d5c95e35e45462e43e4a63dca87

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:09.277937Z digest=sha256:5adb36d8fc6b5abd46515ed303206d61b0c662f3ba24df0940acdf1820d9d021

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=sha256:3533e72c9a63188e546f405f56e83bef2f7dacca936ef9f6af3aa68996b7281e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:10.795773Z digest=sha256:6f941b152f9b142b4c76d1dc1b6b77fe7eaab171718279b1809095298423cb2c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:10.890835Z digest=sha256:729ad3871e7c1d0aab0bf3f41609bb017071e2faa6d41270eed9862269ca4b5b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.004830Z digest=sha256:d56bdf65b73ecf9868373e9aaea38dd7a920be0c7ce17b6cd86422d9dbf5405a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:09.874189Z digest=sha256:d46e642421cc26aa21fc565ab6e9969dde86877c351dc9387897bd9f4e84571c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.165966Z digest=sha256:8557bd26a54412658e0bc15629ed7cbac83124b38eda912c9afd65782839354c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:10.186971Z digest=sha256:8340e360d552ed767388ad26a1bb7ce3dcddf4e26f7616ff57c3ead657f8fc7a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.372731Z digest=sha256:6f87a9ceeda0904bdbbe4073349826d72fb831dcdc7d90b190f182916ec0531e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:10.607093Z digest=sha256:4486d9480d293e61e2d80bfdc7599a77b8eaaf049ec7e82046184eebea991eed

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=sha256:4c4383f54fd2b15ba0ce45a4c410a9ef2a64f3c98f7da6e4670954ba86b5c6d5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.808021Z digest=sha256:db5eb51052ec9b375d75232751fc17c55999e679d89444d7e07cca3b2b7b00ac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.884252Z digest=sha256:bfd1a97c180cdc4bb776c38f4a6c4c9dca12999063ff5f9ecc41f7ae54fbfb75

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.095258Z digest=sha256:f277ce327afbd8228f4d002ad636030c3c1e05a438728cd682fece6a0c2face8

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=sha256:588b07a3b4fbc3c04e39259968ceec1a417aaed758801b8b6ccd811ae64ac6a3

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:f5edb4a8286c0d6e0445c00fd7d68fb5a4909ba0b967baf438d4f4e6af772b7f

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:e0bf5a15f8665c04f00a6dbb8f1128b89ae41b79447732abe07bbd2fab39edcd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.477094Z digest=sha256:0b5d5b1a26c3bb771ce164dbeeda5b0842c22e7c880b5d26c65c8f76e08b4008

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=sha256:9842e168ae7325cf102575002b5cb1271d54c741da1969336014c9c29804cbd1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:12.554232Z digest=sha256:514bd4d8fcfbecd64c6140c61ff6b17575d9fc5a836c24d90d079d899badcf78

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:12.622083Z digest=sha256:e264c012fc15cab0ecf68e8efe542467b9548ea52f1b141410bd14070960287a

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:aa7d6c7bd601333465fd9a90a41c3201c71e7e1ab65375c898353454fb65c8fa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:11.971661Z digest=sha256:336aaf14f3c57bf749158424838f94907a93c1be8e2c9b76145a5452d3d026b0

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:cb5e9991c454e0ab3d6f89a5b74ef1382258d53a293a99fa812b9d7a4dfa090f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:12.136637Z digest=sha256:225b46f4b0788ff1dbf95d5b577b26c363d957ecba94c95a233f9c7e13efedfd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:13.171853Z digest=sha256:3c8b8d2ef0af44d7c821d4da04f2260c2bbda291fb66017671decec318783660

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:12.350245Z digest=sha256:72abe724db9517344cb1cb3b5049e190432c0fc48546947b43475f3ed59af37d

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=sha256:0c8d8ed93b27d0d5385e9e5a860de8194ee9535c17ecf84139fd0706fac62348

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=sha256:475fb05e468dbfb5300e5748143b63f7e162de1e018ebb593c9c25da331fe940

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:13.732808Z digest=sha256:5edd21ae2800599d7f5650e8d9f8418eef3a79bbbfd0d6f8798af6e659257331

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:13.816066Z digest=sha256:244fc61eaca3eba6b8d999e03f90e0bc4c2f54f21de6f32b6f913075b5e5d840

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=sha256:1202666f38f38e87fa0d1c9044e7999cb7de71df78c731ce85b3b95dd27a31dc

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:e088459f9efb4f6148811519438b3ec8271dc5b8e7d312835d4a4182c8b6b64c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:12.981771Z digest=sha256:ae5d7470295e7c2de6e57f5739f6daf0e6136d7a32cf672276bec1c188247942

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=sha256:48da02db494fd31791eb5348b01679933c6606e749f73ae294b78a19a3f38d21

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.278173Z digest=sha256:acb13d1a04d1f0bb880ae87c81f2716ed9f139d0e351044013132c8e95076fca

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:13.280658Z digest=sha256:f793f60b5f598f49da66d23bf4203a65ee36b1d5d05867a41d14a0f9297e9a6c

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=sha256:4edd55a2316efe32b2044d141f7667eb116b16f79051af289bc5cea28f0a10f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.515419Z digest=sha256:ad431be9e7f9d263758d0b639005a581cf705066b7b3e22304c5214e1977bdb2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.607328Z digest=sha256:3b8d52d32906509baeeda75e3872c1ba171e6a17d4e8cb8b92b3079eed50da9c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.738553Z digest=sha256:8942e34cb8e6162093504a35a139e182edf58c0acfe9dea1d0f42144de0f9e65

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.846153Z digest=sha256:4eafba100c64ed5c786d56e716973a6cddd1e7dbae2a4925e92e5c2b559a8a94

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.981982Z digest=sha256:29fdf87b711c0a4384398c9434ebb6e9a17aabd38a3ac3bc877491d124030630

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:13.902247Z digest=sha256:98ba7eae70ef711b83ca0cd26b65da12d8c71a9efc0763da588c1785c8ea954a

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:fc4f164c7a7fdf6fc2b8563250496e15ec08f89c731e612f9121905cdd648515

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.055324Z digest=sha256:d4efc7ceaf27b8b43c7ffedbe63916ee08e73693e01b7a5895a292deeb232530

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.149578Z digest=sha256:f6e22ae7f72c3570892107543872baf48e2d0cbe1d187d94a79a357c6c2ce732

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:14.358727Z digest=sha256:753b79a325ba58e77415556a826db9b489044f03a6c94f8bb703fff3035145ed

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=sha256:800d4932760a587a7edc4761ab6eb4b35ae8003fc0aa4d282d4422a698759d6f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:15.077670Z digest=sha256:0d586f7fdd6b29fe4a01d24c127744ed2013d0060a85684aacbbae2dbf1d3664

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:15.139922Z digest=sha256:1119f623a4033132daeb7d2842d53a7a78b3599749a10d93f64d308f06f94ea1

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=sha256:13c48392c499a39d147d19898abfce64dc6c4e24d2602403a76571808768579f

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:a67eab4e0f7e91b2c498bc788d5009d5074d5a20faeb75ee1e84c828d3b6ae71

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:d564fb23c8a1dec1c0d77108cd3ca98a604cec743732b2a9ec99bd2438a174bd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:13.668392Z digest=sha256:19b40ffcf4a00661165cfac72e18597fc89b4912e95d86d3ba852e6989b40acc

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=sha256:6d96297dcca040546a4df22e472d3b084d382f6e6d7c0c6d64043dad483bf9e4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:08.027551Z digest=sha256:616b082807d687856bfa66f3cec324a6034816525152fbaa326c779744048d9a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T18:30:08.335045Z digest=sha256:f7dc8ecf5643cfd7780d79e27723d5420646c8353f620af5273a922ec1cb6a0c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T04:30:22.404616Z digest=sha256:59df789e8ad6579834e0e8d64d83db1d21be149f6c2c27caed5f966ed42d6062

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T07:14:03.733251Z digest=sha256:591bb031a7f1f39dbc2d72f137942226f94466b271945a27ccd31528e7aff0cc