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Paper Citation Record · LEDGER

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models

As of 12 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 3 inbound Pith citation observations for arXiv:2605.29755.

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

pith.paper-citation-record.v1
2605.29755 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:27:15.111684Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:42:21.715657Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:26:41.603453Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact10
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51dd8ff7-9181-469e-808d-aea7d3f83d66 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:b101878ab176bad0ad8385802ead436cf24b9052857be161308be9ce9491a5bf

Observation c4716a2d-4ada-4c56-84dd-9d30f979b15a · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:11112de32b1b159aa7a45854afc3e01790034439386f6750b0a03baacc4d3a84

Observation bed7e36d-8953-4a02-a75b-89357eb14200 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:4f3ede1aba98b375a894ac584a6f11e55bc7a6bb46a7840d1cfe3c81a2b92043

Observation a931e8cc-750f-4277-a7ea-4c145e5b3eed · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:77c3864afcebc3a33a9ca2e9d02a839fdfcf0945e3a7cd7b70314c48f800d526

Observation 0004904b-fbb0-4c9a-ac18-eced946edb8d · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:f42078cdece7e64dcd2ee75ba149aaff9ba1cb2b3844cee603d5169c6a07d740

Observation 2dbbc111-2414-468c-9337-a09dbf67f6e9 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:42ac7eb0e3dc735779f4f43d536ffc74d21555b92203407f8236cd294c7f4e60

Observation accd77a6-ee87-4f83-b387-4acd0114f460 · outbound

This paper cites InInternational Conference on Learning Representations.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models InInternational Conference on Learning Representations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:5adc09d9a8f5aabfec68f56b9d4d9039ef567f194bf81e581c7f15681c498b63

Observation 7caed49b-592c-45ef-954f-e10c95fb2221 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Distilling the Knowledge in a Neural Network

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-06-29T15:13:32.264339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:9f0e22c3f6c99553785f01f945a18305fa0e1b5e0bec2fadb93ca9c4b198b84b

Observation 13539955-c8fd-4ea1-8e30-776e5dfd0a23 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Training Compute-Optimal Large Language Models

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-29T15:13:32.268420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:cc7be5cde74f87e5110bca45e5c0cb2a746c4981af60c303ea7196294d94be76

Observation 76585d88-488c-4297-a6ee-be0f940f89dd · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:13:32.274725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:e2e5df4c8cbcca50292e49677a3684338b81bc212293d0e1b0630269e1b6e2f2

Observation df13de07-8c46-472a-bcbf-88d7ce9beab8 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T05:33:10.464771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:2244bd4dc4e7d43d9b063e09284accad33c55f1978e63c4a7ff7a1f449c2526e

Observation 7d972226-7bd6-4ddd-ac88-3e9dde90a81d · outbound

This paper cites Scaling Laws for Neural Language Models.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Scaling Laws for Neural Language Models

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-06-29T15:13:32.271830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:1d71ffbf2c8c78f0f6e5d5d1d9f51a0212e0f1454a9bf424a1051c629424e73a

Observation 0d8d891a-7b28-4454-8fd7-615239c0f142 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:8c6480a6c8190b2488f63d4501e859b574ceaa158989acc9f56d71e40d07acfb

Observation a8f46233-6b39-4cb3-9fb2-e0c783a0b04b · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-06-29T05:33:10.462534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:32b11e372f53554173e42ecd9ea5ad819f40b719706e5aa26a07f13528406732

Observation dc09a2e0-8c95-4bad-b98e-7e5ed3860ce5 · outbound

This paper cites Flow-of-action: SOP enhanced LLM-based multi-agent system for root cause analysis.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Flow-of-action: SOP enhanced LLM-based multi-agent system for root cause analysis

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T05:33:10.459364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:f54de6d05b3cc885d8b4ce924b620f345601b319b21a134d9e92b39153066590

Observation f9a1b68e-0cdf-49ae-a662-892ee4cfe010 · outbound

This paper cites In: AAAI.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models In: AAAI

Reference 16

Resolution
verified exact
doi, observed 2026-06-29T05:33:10.461022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:448ed8ca5c5bd742af4789752f6d7ba7dfa2bff9d61d2ce85767e66d4adb568b

Observation 987ee112-9ada-4514-811d-76d3c76c7fbe · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-29T15:13:32.260671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:30dfae8c5365fdc3f12d7941bf1eeaaf341437b7101b77374bc55f10f8b9f164

Observation a7282dea-01d8-43be-b4da-75b44a3a8ca7 · outbound

This paper cites The Cost of Training NLP Models: A Concise Overview.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models The Cost of Training NLP Models: A Concise Overview

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:13:32.263241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:0a383dfd6fb261adbde94d5b3563bfbde4c621e09c134618bd794d86605707df

Observation 35e3867e-36f8-482e-b88c-4e65e8277059 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:6d7875e5f106d1ad18a8d9e518b0037789f583e272c49ee147d48a4e1f7f43ac

Observation 0878ac30-86c9-428e-a374-fc29ae6f06f0 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:81171e6d2d7c09e8d7c9538d581d4eb8a7b672e5fd14a551dc1bf2472dc5f232

Observation 27fa24ca-dbe0-4a0a-b939-d15edba6d3e6 · outbound

This paper cites Ai-driven guided response for security operation centers with microsoft copilot for security.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Ai-driven guided response for security operation centers with microsoft copilot for security

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T05:33:10.456535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:03d20edd403d72fccd3f871bc61f8b4e47ad209cd9502a2f6ac397d287a4f179

Observation 5b2112fd-b6d1-48fb-8384-ece8e81db225 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:583a47ba1caf939be9c2008b821758e22ae50487c6f868f42ea6e9365ea825d4

Observation b5561a7f-5cea-4e7e-aa3b-27050fc70648 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:917de60ba601793b2e8ee2fb7827b7fbca478a0c194227c1d31f2b006e4a5a08

Observation 9f613780-2254-4297-8f00-24ac3a9c7775 · outbound

This paper cites an unresolved cited work.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-29T05:27:15.111684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T05:27:15.111684Z digest=sha256:3a719739ed63bfc8854809fa8e2b79da9a56f4739d506fd8fa37447dd4079e58

Pith citing papers

Observation d972e061-c51f-4d26-9dd5-0b6ea00f9f20 · inbound

OxygenREC-v2: Internalizing Discrimination into Generative Recommendation cites this paper.

OxygenREC-v2: Internalizing Discrimination into Generative Recommendation Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T19:57:46.664055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T19:57:46.664055Z digest=sha256:65082b9c57effeaca13d28d1f1d972505dad948f45c921e8e20fdfbe477552e1

Observation bf62f3c3-89b0-4f48-b94a-4751081b278f · inbound

Gryphon-v2: One Model in Place of a Cascade - Generate-and-Rank Recommender with Rollout Distillation cites this paper.

Gryphon-v2: One Model in Place of a Cascade - Generate-and-Rank Recommender with Rollout Distillation Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:26:41.664112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T12:26:36.569495Z digest=sha256:7f90a7d3625349b768afe9908682b0b02a47664cb066107d9a02eba169ed3558

Observation e5ac5916-b25a-4cd5-9ed6-efc99e490ca2 · 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 Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T15:42:21.715657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:42:21.715657Z digest=sha256:2a3a2db8d86f419a1e98c8e7aeeca61019f6ba8ec233c68e6ade708d53d61349