Pith. sign in

Paper Citation Record · LEDGER

MISO: Model-Internal-State-Guided Optimization for Ranking Models

As of 11 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.07035.

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

pith.paper-citation-record.v1
2608.07035 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:15:18.717641Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c0cb289-1f31-4d9a-9af8-ab56bb628604 · outbound

This paper cites 2016.Deep Neural Networks for YouTube Recommendations.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2016.Deep Neural Networks for YouTube Recommendations

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.995138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.652025Z digest=sha256:51b4564a5cf36c0561d80d9f9380d8da301d4d66596679d2898e6160ea2a34db

Observation 7ff6c2d5-385e-4dce-9069-2e48a2ea5cc2 · outbound

This paper cites 2015.Efficient and Robust Automated Machine Learning.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2015.Efficient and Robust Automated Machine Learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.980376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.657202Z digest=sha256:4e299dd1293e2c63cb2dfe641e41924afdfc2003951bb63b182d222abdf2237f

Observation 115e0ad5-4875-407c-b9b9-b721d5f82790 · outbound

This paper cites 2019.The Lottery Ticket Hypothesis: Find- ing Sparse, Trainable Neural Networks.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2019.The Lottery Ticket Hypothesis: Find- ing Sparse, Trainable Neural Networks

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.965074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.661369Z digest=sha256:5d7c116e97ba21a53c9bfc06839b611597f54d322c40a00787ad9dbfc62292e6

Observation d11eb431-d59e-4723-8d70-aca67e212163 · outbound

This paper cites an unresolved cited work.

MISO: Model-Internal-State-Guided Optimization for Ranking Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:15:18.948620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.665634Z digest=sha256:8078a617c71d431272caa1a047f8c1da27921b970dfa8c3074e13694b7dd7185

Observation 1fb67f4c-ed22-4189-8c20-b842b96d0efc · outbound

This paper cites Neural Input Search for Large Scale Recommendation Models.

MISO: Model-Internal-State-Guided Optimization for Ranking Models Neural Input Search for Large Scale Recommendation Models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T16:15:18.799857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.669978Z digest=sha256:29147ba9ce548cc7e4c45a741c34359197252f6d296b6036f925953b9ca54e64

Observation cf23b761-8ab8-448f-8594-45f5dcb18511 · outbound

This paper cites 2019.DARTS: Differentiable Architecture Search.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2019.DARTS: Differentiable Architecture Search

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.931964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.675036Z digest=sha256:d2002b1fd55a2b63d28a646e24fbc53503a4847d301d852e76942522e13b2409

Observation 7ca59fec-7633-4e55-b795-32f47dbc8dc8 · outbound

This paper cites Lundberg and Su-In Lee.

MISO: Model-Internal-State-Guided Optimization for Ranking Models Lundberg and Su-In Lee

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.916278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.680294Z digest=sha256:f0b695710b82e418a652128fd4a557434297e9a0e69bf25aaa6340016f56aeff

Observation 9aed1b3f-6fd1-4dee-8280-eb038d98b5f9 · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

MISO: Model-Internal-State-Guided Optimization for Ranking Models Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T16:15:18.684763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:15:18.684763Z digest=sha256:7e13fd4ea7f0f0760d1ccd52eff73f76b0bbf0ba12ca946e5bd477fc83b6c630

Observation c6a0a850-d018-4ab8-b6c8-1a22f32dc231 · outbound

This paper cites So, and Quoc V.

MISO: Model-Internal-State-Guided Optimization for Ranking Models So, and Quoc V

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.898926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.689570Z digest=sha256:896b9fa2870e0004e788ec77e9ad129fe8c163ed2d08ff767e43011cb1098061

Observation 23d95346-e110-4574-9f74-5a91afca7393 · outbound

This paper cites Why Should I Trust You?.

MISO: Model-Internal-State-Guided Optimization for Ranking Models Why Should I Trust You?

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.880665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.694281Z digest=sha256:f267f11e3c56c460036277f5976ceafbc9d0d3ec51d65e1c38fc3518ae9fba4e

Observation 1e90e5fd-db88-4816-899a-b83de1829308 · outbound

This paper cites 2017.Axiomatic Attribution for Deep Networks.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2017.Axiomatic Attribution for Deep Networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.863514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.698853Z digest=sha256:f0838b15c471077ecbbe1d1cfc2ceb3f0f201ad858b20fe9c312959c4cd1221f

Observation cfb4e96c-afe3-4c2c-b601-723fc71d9331 · outbound

This paper cites 2021.DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-Scale Learning to Rank Systems.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2021.DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-Scale Learning to Rank Systems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.848578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.703314Z digest=sha256:2a93fbcbb11e9120d839eaf0a8c06ed10355bb430035bdc79fb06daba4f73862

Observation 199418cb-a478-46b6-9dcb-47f7e9d1f8e7 · outbound

This paper cites Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, and Larry S.

MISO: Model-Internal-State-Guided Optimization for Ranking Models Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, and Larry S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.832524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.708301Z digest=sha256:c3ca1d1a982115f3aa8bdc73e48776103931d782d8e588aceb2399d371aeba30

Observation a40ec2a7-7e40-4994-b4d1-5ea3142e4d3a · outbound

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

MISO: Model-Internal-State-Guided Optimization for Ranking Models DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T16:15:18.712769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:15:18.712769Z digest=sha256:542816c70e98575ad6df8e42569729eceeca8981b9a2333f44b9fd5012c586ec

Observation 0987e6e4-1914-4331-be56-f4aa41d786ee · outbound

This paper cites 2017.Neural Architecture Search with Reinforcement Learning.

MISO: Model-Internal-State-Guided Optimization for Ranking Models 2017.Neural Architecture Search with Reinforcement Learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:15:18.816663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T16:15:18.717641Z digest=sha256:39afbc1f0b2544e9511905072a27ffc46ebc074ad62e93a3075c6bfc4283a2d8

Pith citing papers

No inbound Pith citation observations are available.