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Paper Citation Record · LEDGER

Climber: Toward Efficient Scaling Laws for Large Recommendation Models

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 4 inbound Pith citation observations for arXiv:2502.09888.

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

pith.paper-citation-record.v1
2502.09888 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:15:14.138329Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:19.962749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T15:03:31.984708Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eaff254-29a4-4e20-af6d-1c10c879ed4c · outbound

This paper cites Understanding Scaling Laws for Recommendation Models.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Understanding Scaling Laws for Recommendation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:13.898263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.898263Z digest=sha256:d8f16e887be452032a500d28c43e2e97196d3c2e32ace679598945f0c12e106a

Observation 74ba1a89-7018-48da-a229-dfc537fa6028 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:13.902808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.902808Z digest=sha256:245a44c18b12e79491fd46ca186561d6d408e5b7baf39c955a93d7565ad1b01a

Observation 8eaf37d5-2f28-4454-a5c4-47f2284fb5ff · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:13.906708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.906708Z digest=sha256:c718f95c0248d8465202256a9636c290bee3778331ebc15d70c0a44d1fadf47a

Observation 8d0c4e17-cd39-407d-8d6a-1c6d67a46af2 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:15:14.566111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:13.910932Z digest=sha256:6fdca8780cbd61a67024401f53f63667cae49c2d3a6e798b17d0718da2cdcd57

Observation 1d49a2db-53cc-40ef-b842-2bdfc58aacf5 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:15:14.555057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:13.914617Z digest=sha256:14057d657cbba57aadb28f2a580404efa73025b20a86b4130cd22f0b15dde838

Observation e9fab154-f10a-4775-bf85-822cfe44f02c · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:13.918525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.918525Z digest=sha256:a5e3ca58e4561b752e8d76a72b8a043187bf053446810fff7bf05dde361e8a17

Observation 4f4f863a-c39e-4f8b-af9e-6129a9cfbf5f · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:13.922348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.922348Z digest=sha256:1d3828ee47372dd8bb13a747607cf26f6a85d69db9ecca99104256305d9f0881

Observation a9148771-d840-4a62-855a-e0d29322eb03 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 8

Resolution
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no resolver link, observed 2026-08-07T20:15:13.929342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.929342Z digest=sha256:d87bf245776c0e868b153c89f984f8bbdb98a8ad75d561dbefe1d2d033970106

Observation efcfaefd-a247-4353-a861-efdbe90e7350 · outbound

This paper cites Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference

Reference 9

Resolution
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no resolver link, observed 2026-08-07T20:15:13.933003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.933003Z digest=sha256:01d2774e18208cbcc1f2eac1e53a5f46465b153480b1a3772185418390f92536

Observation 0389cd82-2ca5-4a17-a8ca-d7d48f8f5c99 · outbound

This paper cites Scaling New Frontiers: Insights into Large Recommendation Models.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Scaling New Frontiers: Insights into Large Recommendation Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:13.937257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:13.937257Z digest=sha256:6604ea2b51825ddcf4467c3e11f5f66fb5aa35efff9f3423f166a7ceace6b773

Observation 2e902135-c807-4ba1-aa9b-fb496357d88c · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:15:14.516002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:14.034470Z digest=sha256:6c71f741b734610a83d86af4be6849db344c6cb029cfcb810f50c354824cca51

Observation f96aa809-346d-4e6d-a9a5-a8176ca175ac · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Distilling the Knowledge in a Neural Network

Reference 12

Resolution
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no resolver link, observed 2026-08-07T20:15:14.038463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.038463Z digest=sha256:141cf8f8192dfc209b3c2947444ddb3e6dd65b4c1e7628f034463c3ae0af6698

Observation 4fd1021c-8869-48bd-82bb-07e1ec2d6ddd · outbound

This paper cites Training Compute-Optimal Large Language Models.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Training Compute-Optimal Large Language Models

Reference 13

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no resolver link, observed 2026-08-07T20:15:14.042065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.042065Z digest=sha256:4905984754290669d9a874fe3ebc5c13b71082e1f67d4ff32d9b5bf8a3babe2f

Observation 43b1014b-d6d4-47b0-8384-c5feb567e2a2 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:14.045696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.045696Z digest=sha256:7a7e9382411cf5f58d272c1d00e633b8b7ead95a9fc70f7e9bb6fdadd74a0f2c

Observation a377482f-6db0-4c6d-9ee8-254550f6412a · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-07T20:15:14.049476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.049476Z digest=sha256:2003c07b0e0c3cb4db5b977249fc92d7a28ee2f7bc9b46ec9b1a000965fc2ac6

Observation 0ef23a6f-73e6-4091-9408-13241da09aa4 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-07T20:15:14.052567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.052567Z digest=sha256:59bc87ae56fc2bfd08f1ad90b277489f280b8c011b8b18b6aa8c455906bf516b

Observation 655b1abc-6ce9-4e51-aa93-426bde535917 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-07T20:15:14.056493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.056493Z digest=sha256:ad6fabdcfa2884a39f642085d4305c670ce780dee256f4f4169d4a62124f6625

Observation 149e6b83-689b-4572-ae40-baf3e07b46f2 · outbound

This paper cites Scaling Laws for Neural Language Models.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Scaling Laws for Neural Language Models

Reference 18

Resolution
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no resolver link, observed 2026-08-07T20:15:14.059598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.059598Z digest=sha256:3b21139a2bc5f9691d505a64dd2f21b0ebc52bc88516b42132aeb8d1f0be7de1

Observation 1d65c868-d980-45bb-9d37-bc52e1572439 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 19

Resolution
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no resolver link, observed 2026-08-07T20:15:14.063198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.063198Z digest=sha256:dee116ac3624f54dc6ba3037de9d8c255807f6e74af0e6cd354f163e7cb27888

Observation 40c70e97-1767-417b-b2a5-2d84cfcc42d9 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-07T20:15:14.067142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.067142Z digest=sha256:cbc5ebc3ddaf233ff4d4aadf6fbb522e3f9ccaef6a5f4e7a162f754023842f3b

Observation fea2f38a-a783-4d78-96f7-373c093114c6 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 21

Resolution
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no resolver link, observed 2026-08-07T20:15:14.070781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.070781Z digest=sha256:24c093a47b549f26f3fd2707b397d8b05b42db6853b43e6dedd47b1e7404444e

Observation 723eec64-1ec0-45fc-95a2-ee040de68720 · outbound

This paper cites DeepSeek-V3 Technical Report.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models DeepSeek-V3 Technical Report

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:14.074368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.074368Z digest=sha256:760872784967f68be1d9b1738cc537bb5d39ae8991f3b51cf4a74a4c22ef931f

Observation 2a7e2bfc-7baa-400e-aab1-b1af939aba91 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:15:14.469094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:14.078093Z digest=sha256:f5e25eff33a41ebcaa3e1a66fbd20f0794cc88c9083f869f8a8ee3447ed99cdf

Observation f7f47983-f15f-4b21-add8-5a298c1c893f · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-07T20:15:14.458418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:14.081235Z digest=sha256:74966fb84a60d270d6603f659cf65e1321737ce73f1b41dc6dbda688e99d8c4c

Observation 8d1f36a4-03dc-4651-952c-3f1473387bbd · outbound

This paper cites MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity

Reference 25

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no resolver link, observed 2026-08-07T20:15:14.083904Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.083904Z digest=sha256:9dd72c3b12cbe55e8f9da13db92306289598773b123f9305b5175e7e6f393a2a

Observation cd8ca1e5-6652-49ff-938f-55f88a769859 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-07T20:15:14.086746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.086746Z digest=sha256:89ada16c16cc11d50204405b43176ccabc1400eaf553a598a6565566f2b9a117

Observation 23c9315f-3bc6-4f04-aa4c-d64bae1b0611 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-07T20:15:14.092593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.092593Z digest=sha256:d24af246b1597d009fc8c818f67f0f62baf128bc659a73edd40f52d56977e589

Observation 7232204d-f040-4e98-bc2a-6d7759c73e5e · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-07T20:15:14.095285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.095285Z digest=sha256:1b8dfaff369670953bfb5334730640e7e70e6c7daec6ab5fc9a0a48bc8dfe408

Observation be894f2c-a275-4ecb-ac29-21b03b6c9a31 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-07T20:15:14.098697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.098697Z digest=sha256:96a4641415b942eeb46e765cacb996f7d191fe9c973545c18444304884c7387e

Observation c15c1da0-075d-46b4-a3c1-a0d0779a959d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models LLaMA: Open and Efficient Foundation Language Models

Reference 30

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no resolver link, observed 2026-08-07T20:15:14.101749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.101749Z digest=sha256:d2f511a9440f8505490f7e4f73546ce5890b41bf52ae8533f95ee0f7c4b6e16d

Observation 6791df61-10c1-4152-932a-cba3f73814f8 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:15:14.418909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 14405a36-5fcb-41bd-b918-d1602f6de5b9 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-07T20:15:14.108787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.108787Z digest=sha256:27464ca680cc14fc85b484d280dd28729f6da6957a332c28a685feb78f06f937

Observation 1300222e-0ba5-4e0b-87e1-f1ee988189de · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-07T20:15:14.402532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e26c2e80-b497-4229-a7af-fee55880270d · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T20:15:14.393418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:14.115378Z digest=sha256:f903a91777669d4a83d2abb7c7ee2b18f47f05da44840ba6aa18242332f88da1

Observation e3ef4fc5-378c-4ac2-ac7c-58836996ed99 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 35

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unresolved
no resolver link, observed 2026-08-07T20:15:14.118543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.118543Z digest=sha256:31fb61068228b8f6101a3cd35d6cf6f31db61c18fbd3ada3d3370175b45a4cb3

Observation 9a82b482-8da8-42d6-a868-0e0752d48fcb · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-07T20:15:14.121685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.121685Z digest=sha256:439d233a7d5f7951a11b8012f088d34950f130795809a65f4e508ad972aef4a9

Observation 5ba55aff-db2a-43e9-8b33-6ee8d136f78b · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-07T20:15:14.378164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T20:15:14.124904Z digest=sha256:35e524620d60bba4f748d15339edf1367d88282132675f6558ca3b67939c6d5e

Observation d0abc6a4-ad1a-44d6-bd5d-4cb364cfd9fe · outbound

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

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T20:15:14.128121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:15:14.128121Z digest=sha256:6d1ca80fd218ef2e75131caf414c5f4d697673110b5d33497f1396ffdf34a490

Observation 730e8efa-7643-4b8d-ac75-743ab8bf0b9f · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 39

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unresolved
no resolver link, observed 2026-08-07T20:15:14.131524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f1521fca-0268-497f-9904-7eaa8225ee3d · outbound

This paper cites Wukong: Towards a Scaling Law for Large-Scale Recommendation.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Wukong: Towards a Scaling Law for Large-Scale Recommendation

Reference 40

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no resolver link, observed 2026-08-07T20:15:14.134768Z

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Observation dc23b6e2-04f5-49d1-9ae1-129f1fc99263 · outbound

This paper cites an unresolved cited work.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Unresolved cited work

Reference 41

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Observation 7f100a3e-28ac-498b-a473-5a3c957a4e8a · outbound

This paper cites In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval

Reference 2015

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unresolved
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Observation b7d73dd1-933f-46ba-929f-9fc907ce524a · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2023

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Source-reported events for the cited work

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Pith citing papers

Observation c25c7674-6aad-4ab3-9375-96739ba7ada1 · inbound

LARES: Latent Reasoning for Sequential Recommendation cites this paper.

LARES: Latent Reasoning for Sequential Recommendation Climber: Toward Efficient Scaling Laws for Large Recommendation Models

Reference 40

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Observation f30fd532-bb4f-425b-8451-eac953ae4548 · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Climber: Toward Efficient Scaling Laws for Large Recommendation Models

Reference 39

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verified exact
arxiv_id, observed 2026-05-21T23:24:26.185200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation feaceaf2-0d67-422e-a4c7-72f128538939 · inbound

On the Practice of Scaling Search Conversion Rate Prediction cites this paper.

On the Practice of Scaling Search Conversion Rate Prediction Climber: Toward Efficient Scaling Laws for Large Recommendation Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:03:31.986296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation db2d9d1a-b577-42f2-b059-2aa1bbc9b8a6 · inbound

Melo: A Production LLM-Powered Music Recommendation Agent cites this paper.

Melo: A Production LLM-Powered Music Recommendation Agent Climber: Toward Efficient Scaling Laws for Large Recommendation Models

Reference 19

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