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Paper Citation Record · LEDGER

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.17919.

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

pith.paper-citation-record.v1
2506.17919 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:07:38.823572Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c9a735c-0702-44b0-bd9f-3f1c6d934cbb · outbound

This paper cites AWAC: Accelerating Online Reinforcement Learning with Offline Datasets.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Reference 1

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no resolver link, observed 2026-08-15T19:07:38.613927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.613927Z digest=sha256:efb2585736f464caf9512f35127779a98fb7950b86dde54343b4ccb8b864d99d

Observation 66c7d3cc-8cd7-4546-8e17-271081e682e3 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.618375Z digest=sha256:631c31b4c5c28be912dd8d5e91c7ea266a7e01e0d62f256f7e7fb4846e5c7112

Observation 8305ef4d-fc7e-4b98-939c-b5eb1e84f58c · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-15T19:07:39.128500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.622225Z digest=sha256:2672c66c98e7788e1527d65c9cbf8ef090cd19a42b99bee0ed79bd4361d133b4

Observation 9b024a8e-5051-45da-baad-b318ab94ee37 · outbound

This paper cites Are Equivariant Equilibrium Approximators Beneficial?.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Are Equivariant Equilibrium Approximators Beneficial?

Reference 4

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verified exact
local_arxiv, observed 2026-08-15T19:07:38.904535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.630396Z digest=sha256:8709d1666304bdbecac82c9f7f5fe554f0685d4d9f1729dea13daf043a538f0a

Observation d132c776-7558-4361-955f-55b5e47716d9 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 5

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.634658Z digest=sha256:ce6141e7b4ef0c2e41894c04fcc49a1e6a064999c589d6c2d684f7fd6369672f

Observation 966c0fc3-1a75-4a85-9496-2cb9bfb35145 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-15T19:07:38.638216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.638216Z digest=sha256:7ad2b07df17262023128ce2bce90dfa57d5f22a70ff72d237f4d7c946c06e281

Observation 9aeee586-3167-44df-95ac-fa450f89b864 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.642210Z digest=sha256:258051cdd86b8ae2ff6f5cb1b45af7a4ccabbfa5c90d9bedd464e8d6cbfb1e7c

Observation 62ced8d8-8ca8-462c-a991-0b98ef5e2e3d · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.645885Z digest=sha256:fb23a05b88df8ed925f39080003c9c285ffc7e4214fe674f349693c4ef7eaed6

Observation 6fa23f8d-5084-4499-9b73-0378a81abda7 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.649197Z digest=sha256:1560b52bb89eccaaf9290c8f1db2b8d048c1e57fdf7d93ebab72798c55428adb

Observation 44b37a85-98ca-4229-8970-830c2094c736 · outbound

This paper cites Model-Based Reinforcement Learning for Atari.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Model-Based Reinforcement Learning for Atari

Reference 10

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no resolver link, observed 2026-08-15T19:07:38.652889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.652889Z digest=sha256:7a402d5bb5be1deb2fe2e31c19cfa5cb6a8ebe1b216b0986d77a8e283085c1fe

Observation 9aa6efee-2e57-45d8-8f47-0c9e387ac027 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.656670Z digest=sha256:4e953bb108ece03054160835780599fe940b6cdea45cca0f4e6f523061134d13

Observation 11a304bd-10be-4498-a3a4-ad00f6e549ce · outbound

This paper cites Offline Reinforcement Learning for Optimizing Production Bidding Policies.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Offline Reinforcement Learning for Optimizing Production Bidding Policies

Reference 12

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verified exact
local_arxiv, observed 2026-08-15T19:07:38.878906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.660228Z digest=sha256:052bf282cdd6f40c6000197e3a0eb4c3f34fe52a6a7aa1e8c308408ac93dc412

Observation 2c7a592f-fcde-4e73-8359-530868d81043 · outbound

This paper cites 2016.Partially observed Markov decision processes.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding 2016.Partially observed Markov decision processes

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-15T19:07:39.063375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.663920Z digest=sha256:96f5e201f7d822330629e9b03f713362acfc3be01af3b4830da25ff2902e1b78

Observation 02e9452a-a591-45df-b2cf-6aab2a1beb59 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-15T19:07:38.667283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.667283Z digest=sha256:4fd15bb84e20364f51c2f2937bc525ccaaec48e7c09a439886d4c3086f2df0db

Observation e6a728cd-64fc-4858-a375-62ea008d8d49 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.670634Z digest=sha256:83e0bc8ef60a894ec954edff555096bab7fae2718be3e82b8221f90ea67af1f7

Observation 5714bdcc-06ca-40d6-80d2-c6fd381920dc · outbound

This paper cites Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.674036Z digest=sha256:5c4d6c5e9a0170593eca5a7a320d8716a8f54ead2b861fc213d0a3dc10ecd1f9

Observation f46eaf1f-d0ad-424c-bae1-ac6e9dd8e492 · outbound

This paper cites Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

Reference 17

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no resolver link, observed 2026-08-15T19:07:38.677278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.677278Z digest=sha256:cbcc72f7bc485416edc7efb4659bb3131f207d490687dacc14a296c01092de8c

Observation 2b70198a-5d92-44df-bc60-844ee2a2e167 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-08-15T19:07:39.038606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.680622Z digest=sha256:5981e4992ea77053b661b2c9e448a68f8d400996225f8421a628ef344e292fcc

Observation 63725100-d07b-4911-ac06-bebe6d71608b · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-15T19:07:39.025560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.683753Z digest=sha256:1819d97fb9f6c1da75667e8ba4a8e21c5ab453c688c774f358eb0f5190dcab2f

Observation 65e87d89-c6e6-40b4-9123-846ce4acbdb4 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.686788Z digest=sha256:f3c0e66e865c6dc3b7388e5146dc61d07115554fef6c81864776b836dafb7167

Observation 0efda12a-7b7f-42b8-954a-ae41367bed87 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.689891Z digest=sha256:0d13949871663a6a3ef360089e6704c8d526c1d6b136adef6e36f5c10aa9cbf6

Observation 39ce0aa8-ab52-4446-b441-d7c7434f81ff · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.692786Z digest=sha256:6878f78f8b504aa9ec905cd861b26f2e080e8b0ef04de8059a7cb081caa00d3a

Observation 50a2064b-3c8a-41d9-bf8d-50718fb6f9db · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.695926Z digest=sha256:81d51515758de924fa8b0c405baabf1ee0fddf93a7dc1f07e96f2dd9c61baf39

Observation 184afc48-f3d2-4378-8854-e603a70e9520 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.698841Z digest=sha256:5f973d159c8f0657aa54e77a02a89f0258d5e6216cd26dd7fd11e0b36fba6235

Observation 8c5a124d-1ef3-4b9d-8d51-80a5eac12b7f · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-15T19:07:38.702785Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.702785Z digest=sha256:41e0589cad5badc89eb14cceb1400b7012cb8f9d5a00c6dd2c8b40be2e919348

Observation ef4ea996-c4b8-465f-a8f7-c65cafc9d10e · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.706204Z digest=sha256:b7afe63178d4ba891c28f6d85c2833c782c92c20e7b0b1d478b517ec5115ca9e

Observation b7946afc-d2dd-40fa-8ec5-9c44355adb81 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-15T19:07:38.952983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.812100Z digest=sha256:f5f6d04501601c25e508f1d781a91b9a1be64d09fe5d2aee601ce7349b3e103a

Observation 90fc6174-b6e9-4965-a3e4-28d3702c604d · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-15T19:07:38.815717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:07:38.815717Z digest=sha256:9a1735ed4d599ab26bba764fd78dd25eb18aa9f343407b4c2c5393e8e86454c1

Observation 7a9f8730-d35a-48fb-9d62-069329d49c27 · outbound

This paper cites an unresolved cited work.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-15T19:07:38.936497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.819489Z digest=sha256:602eb327a9e175a43214f9facc830ca8b97f141401e9d3a7991566a436cbd956

Observation 8c983ccf-161b-4112-9278-f72181464b3c · outbound

This paper cites HereX andY denote the contextual feature space of the advertiser and the impression opportunity, respectively.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding HereX andY denote the contextual feature space of the advertiser and the impression opportunity, respectively

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T19:07:38.925647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.823572Z digest=sha256:0cfe3a2c4e43a05b1eb2a4ac4b9a9570aa41694bd758c5e70bb4597fa2e93166

Observation badc1763-cb1e-4f4b-9816-6d7f84280829 · outbound

This paper cites InProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems.

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding InProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems

Reference 2023

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verified fuzzy
raw_fallback, observed 2026-08-15T19:07:39.118456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T19:07:38.626396Z digest=sha256:752c1bc8b400d7ab13cd4a0af89c0a9dc1bf79e94a8cbdcb513627affd4eb60a

Pith citing papers

No inbound Pith citation observations are available.