Pith. sign in

Paper Citation Record · LEDGER

Generative Optimization for Incentivized Advertising with Global Level Constraints

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2608.04421.

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

pith.paper-citation-record.v1
2608.04421 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:25:19.545945Z

measured 56 of 56 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 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

56 of 56 outbound references displayed

  • verified exact4
  • verified fuzzy1
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89c205aa-534d-40a0-abc0-544ab30f9b3e · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.479934Z

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=2026-08-07T00:25:18.444280Z digest=sha256:2c89978496797ba7e27122e9f1d860bd33a16eb14b52a1027e74c67b21ed78ac

Observation 2a3c6621-71d1-4da9-b90e-d032b251c48d · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.463335Z

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=2026-08-07T00:25:18.524193Z digest=sha256:c290103f8272891b2f8592fc86f85b2b91b7b69fe9af4da9afbc57495663f768

Observation 01732180-46af-4ea2-b97d-91e826480703 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Generative Optimization for Incentivized Advertising with Global Level Constraints An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:18.678460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:18.678460Z digest=sha256:98cb99c61d3a5dd8848aa7c493d0f3cab11f9c97c8b88cf35685bf0353077f81

Observation 4b1ff886-4eda-4b3b-a754-0b3183882bf7 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:18.837041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:18.837041Z digest=sha256:cf169f00ffd39ae5d4e1cd64d56c34ec2351d64e9a4879bb15521c27f40fe8fa

Observation 7ae02476-4647-4655-a590-1d581dfb4818 · outbound

This paper cites BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion.

Generative Optimization for Incentivized Advertising with Global Level Constraints BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:25:19.927134Z

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=2026-08-07T00:25:19.003572Z digest=sha256:eaa7c9636b7c550960b0793afe9b67ff2a99e5c59d1473e5347e22d3c23562f3

Observation 1d85cc97-690b-4f92-b0a6-710d75a1a4b1 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.163177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.163177Z digest=sha256:1f552d604d10949998fbf87ab68fae29a651513becb98699b10fc5363f08aa9b

Observation 52515b9c-a533-463d-a7a5-065b67f58d0f · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

Generative Optimization for Incentivized Advertising with Global Level Constraints OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.170773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.170773Z digest=sha256:14ba110e7fde981b276ac06b53277c7e7879bbb4d00e2573d5d17654b1f96250

Observation 05aba46a-7061-4d35-9e6e-38f9eb6511fd · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.248444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.248444Z digest=sha256:a975697f797c3d89ee5f4d9f407efdb5f0fba794f6e457882efcc2316257ea60

Observation 87364c22-f810-49b5-b633-040fdb8ca1de · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.334999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.334999Z digest=sha256:40e842db722398177ef17981817ea1dc096d33818617230c2b02aa9a6f2649b4

Observation a9c21950-92c0-49b3-acb7-1438590772b1 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.392198Z

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=2026-08-07T00:25:19.339816Z digest=sha256:43f1835f1666d9bc3eb70ea9f3bd1e13593660376807438649c3b0865d8f6161

Observation 813bf57a-a981-4cfe-8173-c94b262d1e35 · outbound

This paper cites OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.

Generative Optimization for Incentivized Advertising with Global Level Constraints OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.344561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.344561Z digest=sha256:cc65bc5d6b7d89f873c7358080421ecf77ef4704178ddb0bf7cbae5d7678d056

Observation 25037740-20e2-4f0b-b2b5-cf3755d91df4 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.378101Z

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=2026-08-07T00:25:19.349802Z digest=sha256:8caccf3efad5149c2ac2189443fa36c7a753090b19d8332315957af707ba346e

Observation 7b7389fb-ea9b-4134-94e8-efc717943ca7 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.361481Z

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=2026-08-07T00:25:19.358937Z digest=sha256:602e669204dffbf39c8ef83f647cf492a4931f6618e0a728ece511fa9d967546

Observation 3fab1a40-f7bf-4e65-8059-b7d20e10a7a3 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.344087Z

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=2026-08-07T00:25:19.363440Z digest=sha256:e4ec0954bd2ab754ebd1da9bb016917c93d134a6e6f3ec28f3bc22d4a28a8664

Observation 38494691-2223-4a0c-9007-610cfbe2dde5 · outbound

This paper cites TABBIE: Pretrained Representations of Tabular Data.

Generative Optimization for Incentivized Advertising with Global Level Constraints TABBIE: Pretrained Representations of Tabular Data

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.368696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.368696Z digest=sha256:7ae72a028add81d2db2a9b890c2c2be6f9e67575e21e43844af2630a4bc1b2e5

Observation 114d1e68-3470-4a33-aa7a-cb73a412e468 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.327885Z

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=2026-08-07T00:25:19.373549Z digest=sha256:001bfe7a825eeaaab222114ec6ebea73764f348adc7c8d73067c71d95d81be4d

Observation 2ea6a845-7749-4ff6-ba56-3d7d4c5c3b66 · outbound

This paper cites NumGPT: Improving Numeracy Ability of Generative Pre-trained Models.

Generative Optimization for Incentivized Advertising with Global Level Constraints NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:25:19.854077Z

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=2026-08-07T00:25:19.377922Z digest=sha256:8f8e75c53dc13d5a8c708f80f9b0f4ca2c897a68d13573551e0f645a68696645

Observation 8fc568dd-179b-4c51-a520-c756fc833e6b · outbound

This paper cites Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation.

Generative Optimization for Incentivized Advertising with Global Level Constraints Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.383182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.383182Z digest=sha256:8b34bd9f75378a603c6f15f738fbe101bc03cb0cf3ebc5524442f877dbb03a92

Observation 25c8b633-cda7-4f16-9e8b-6ad339ad2e8d · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.311819Z

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=2026-08-07T00:25:19.387617Z digest=sha256:2fd6b03691d263874564f2a173f2c5ca0434529dd199878ede69c6eb30d867ad

Observation 1f150a55-0f58-4585-82bd-dae6f21bf373 · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Generative Optimization for Incentivized Advertising with Global Level Constraints Offline Reinforcement Learning with Implicit Q-Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.391549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.391549Z digest=sha256:18b1f316203057c8fc770af87db697e0b1070259944f72880f4d74a0edbaa659

Observation 316a33cc-2eae-4de9-bdb0-60db4f718d79 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.296443Z

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=2026-08-07T00:25:19.395817Z digest=sha256:9cde08dc9684ecf4c34d570bcfd98f12565388ec6a49cf7de030bad801d9c2ca

Observation ab759545-ffc9-4d43-b671-a9df39d227d7 · outbound

This paper cites A Survey on Transformers in Reinforcement Learning.

Generative Optimization for Incentivized Advertising with Global Level Constraints A Survey on Transformers in Reinforcement Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.399786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.399786Z digest=sha256:f351f5b3e606564560602c902690cbb71ea7df2b7e2bf4ceb94c44d0eb401304

Observation c2dedaa4-9d53-4763-9b2b-45163a4796d3 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.281720Z

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=2026-08-07T00:25:19.404004Z digest=sha256:55677c5f0ffafc36586b3597e2f153a81e25fdefe4a1e8fab2082d757d4e5340

Observation f92a540e-c230-4a68-b207-28afc8a920c9 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.408269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.408269Z digest=sha256:eca3796b6c6bbc09e57d617a8f8d79a57e5c670b2b08e57563f8d396eeb665ac

Observation 85988e6d-13d4-4e44-8e1c-e2dd507a199b · outbound

This paper cites Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning.

Generative Optimization for Incentivized Advertising with Global Level Constraints Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.412691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.412691Z digest=sha256:b469154a717bd32d08dbbbab48c18215b06be3ec0d27499b995e2939e616f9e6

Observation e5954cc3-0235-48da-93b5-56f3118a73fd · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.255354Z

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=2026-08-07T00:25:19.418091Z digest=sha256:979cece646c47a6f54f1c6951f9052e7dedfa309e963a573b87e971f9fca15db

Observation 51239714-0a98-4bc2-8b3f-b370a88f25a9 · outbound

This paper cites Generative Regression Based Watch Time Prediction for Short-Video Recommendation.

Generative Optimization for Incentivized Advertising with Global Level Constraints Generative Regression Based Watch Time Prediction for Short-Video Recommendation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.422391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.422391Z digest=sha256:ebdebd433cca0c6b5f723eaad641e96ae16368c97ddcb54ffed432c701ce17ad

Observation f1926a53-1162-4218-8314-5ef18155be71 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.426841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.426841Z digest=sha256:7ea88f556c7690dfae87b37027cd2e74c67a12f8e04f148a686281abe69a3b05

Observation 61b22a17-1f76-4fb0-9734-767003c7739c · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.229347Z

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=2026-08-07T00:25:19.430998Z digest=sha256:dc76add1e31e3acf3b2538664c723b28150e6bffbd0ed15007a5fba472eb1f0c

Observation f40f3f42-07d1-4fac-9183-81eb74e04065 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.435380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.435380Z digest=sha256:c3681d7149efb257a2262012adc58ee95b01637ef318b33d5188017f0111ba6c

Observation 1efad25d-793f-4bba-a231-1f61d4e12f27 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.439907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.439907Z digest=sha256:7092470046fd3ee313808abd677e0f49fcee7f9ec9b2192246b2d6be2e588d80

Observation 08cfda64-8295-44e8-96cb-8d7b1083a1bb · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.448723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.448723Z digest=sha256:c5f00a308376826adc4d36f1871844232d5a2c3bc14fb22554e002a16fee90a3

Observation 1e1002d0-fee3-42ed-8869-43f08702498b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Generative Optimization for Incentivized Advertising with Global Level Constraints DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.457779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.457779Z digest=sha256:79a5d27b0259bbd92c94bf574d75fc473489eaf3de1061ee03338e31aeb218d1

Observation 1201809c-eb1b-42f1-9db1-d5af2de3657d · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.462202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.462202Z digest=sha256:d2de4dce6518e8b617312c58cc3312033750c45b6cb7a8fe09e151c7bfa9c459

Observation 077e3677-b23c-4a70-a245-f3621b19cda3 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.161263Z

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=2026-08-07T00:25:19.466273Z digest=sha256:0945a014068fc36e431af6f83d9a154c8cd3e87d0de4df1078a3c5424d1ae74a

Observation 59bef0d3-4306-44a3-8755-85cfe327cef7 · outbound

This paper cites Do NLP Models Know Numbers? Probing Numeracy in Embeddings.

Generative Optimization for Incentivized Advertising with Global Level Constraints Do NLP Models Know Numbers? Probing Numeracy in Embeddings

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:25:19.722806Z

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=2026-08-07T00:25:19.470542Z digest=sha256:f4f83f2a8ad6fab7a37933621e36eaf34e33f6ac2a0a76f9e66e6dd028b94d98

Observation 6da0be0c-d82a-42e3-b056-3f7419f32731 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.145997Z

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=2026-08-07T00:25:19.474946Z digest=sha256:6672c956f3c2204e917ae3753a7f09ba0fd86bc4233748024710ce7427b6f92c

Observation ec0ab7f1-82b0-47bf-99d2-f6b1ac441671 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.479043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.479043Z digest=sha256:2fd010d7e80efe155f8ed8c792d243d38a6fa3477d074e350b2c544e851710ab

Observation b69888b2-685d-4d96-bb62-bbc918ed43e1 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.488778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.488778Z digest=sha256:60c957fd01c2a6916381eab241165aafc113b95449e5ba2fb00633a3bfe1a46b

Observation c904069d-959b-43c8-b140-762f8fd1ab42 · outbound

This paper cites Off-Policy Primal-Dual Safe Reinforcement Learning.

Generative Optimization for Incentivized Advertising with Global Level Constraints Off-Policy Primal-Dual Safe Reinforcement Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.493021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.493021Z digest=sha256:deb6d954d2e4994d4e2719737d9685ff4156098d2d988d1023aa62ac616822cf

Observation 964b73c9-0df6-49c8-9f94-12b9275ae12a · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.099464Z

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=2026-08-07T00:25:19.497698Z digest=sha256:88242b9f4d3b972e7a800f2456f0eb2aa3ede4f742c68ff4a9bacba9d5793ed3

Observation 03ca3525-e3df-4385-9dcc-b65183d2cbf1 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.084361Z

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=2026-08-07T00:25:19.501779Z digest=sha256:ba40ce6298e96d648a4e94b4deb2122c047096aba277f7063333153f8d9772e3

Observation 14fdb2b6-0acb-4e05-a2b6-ba4d5b80bd2d · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 43

Resolution
verified exact
raw_fallback, observed 2026-08-07T00:25:19.682267Z

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=2026-08-07T00:25:19.506005Z digest=sha256:d6687c839083a0ef807e3a542fc2f00a92cb6074d7b82633e8c8b98796d63087

Observation 3c337c75-2ee2-458a-8f5c-9e05697dc30b · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.070023Z

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=2026-08-07T00:25:19.510164Z digest=sha256:4a656edf5ef4864834bbf49cb3c19b082486e719fe2cdcf8d4260bd142304f46

Observation 734427ea-6d33-4392-aed0-c4dca7fab20f · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.054797Z

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=2026-08-07T00:25:19.514288Z digest=sha256:2b944d1a6433e8809933f0a4291b322599c39d28990ef213f39d796b5bece97e

Observation d34ed30c-8a9a-4b83-8103-99a156c4097e · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.518407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.518407Z digest=sha256:2764a6ebe589a5ddb30282ecc76af88bed6b309680eeaeaacb3dd11f719ebd86

Observation 95600353-e9c3-466f-bf22-45aba6bc6d22 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.028771Z

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=2026-08-07T00:25:19.523001Z digest=sha256:f19d06bf41474cb2eff6b3b3d218063f68471aa7393f52387ac4aee9c66d86c7

Observation 93371ce6-fbc7-4850-bc7a-9be8834003ed · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:20.012757Z

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=2026-08-07T00:25:19.527690Z digest=sha256:e1056972561560690b416184953baf82dd4e682cd08274300d2cdf2145a2599f

Observation 7bc4a26b-349a-4164-8c4c-07ab3a38641a · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.532212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.532212Z digest=sha256:c9300232f46ad3161ecaa3f455777b07c57ff7dd207b2ff45216cdb963c02ec0

Observation a8f2dfd3-56c3-4eae-8224-4b090f141ed8 · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:25:19.986189Z

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=2026-08-07T00:25:19.536605Z digest=sha256:3b0f54ac3a92c4b292dbb9cb125be0762327ea7e92f71f194a508cce0f3dcc23

Observation 0ee190b0-62ea-481c-8fbb-0ed1284fac7b · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.540996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.540996Z digest=sha256:86f10a8f4715a23800fe026f7ec7648467042dd1fe90f966983d5550e88c569c

Observation efb11023-08f1-4f7d-8a1e-e4e42b6b1c87 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Generative Optimization for Incentivized Advertising with Global Level Constraints Proximal Policy Optimization Algorithms

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.453210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.453210Z digest=sha256:a0754b1d13ee972494d5caad4199710909f9cfc051f63b746b369de0ee904151

Observation 6dcc2e93-73da-420e-accb-65c2e7e7056e · outbound

This paper cites InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining.

Generative Optimization for Incentivized Advertising with Global Level Constraints InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:25:19.960403Z

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=2026-08-07T00:25:19.545945Z digest=sha256:38870ff37f031b450cc4f1fbaed3b161fd11f6304281bb91d71b82428754b327

Observation 2cb3f430-6923-4d74-ade7-6bc592789fc7 · outbound

This paper cites InProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.

Generative Optimization for Incentivized Advertising with Global Level Constraints InProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.483271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.483271Z digest=sha256:50f7caa1061fb8ae4ef75c1362e00377d171989e239d9fce40da5520ee8185d9

Observation 0c2dc45d-7bbd-48e3-a0c7-946679641e39 · outbound

This paper cites In International conference on machine learning.

Generative Optimization for Incentivized Advertising with Global Level Constraints In International conference on machine learning

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.301408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.301408Z digest=sha256:c3ed4e43c9fe023a0cf14899e634b6d1cd4f3798f0aaa7302e273e6b416f9f20

Observation ca17b1ed-ba18-47ab-bb9c-64433f7a203d · outbound

This paper cites an unresolved cited work.

Generative Optimization for Incentivized Advertising with Global Level Constraints Unresolved cited work

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:19.444294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:25:19.444294Z digest=sha256:68db7905913e111da336143a49059fa4a7861e2440353bbd040be4eee98032da

Pith citing papers

No inbound Pith citation observations are available.