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Paper Citation Record · LEDGER

Recycling History: Efficient Recommendations from Contextual Dueling Bandits

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2508.18841.

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

pith.paper-citation-record.v1
2508.18841 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:17:24.655553Z

measured 23 of 23 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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation deb10099-30be-4481-b17f-e0f16015912f · outbound

This paper cites Bobadilla, F.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Bobadilla, F

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.914981Z

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 8100f5c3-6c9b-480c-a462-7aa1c1681faa · outbound

This paper cites an unresolved cited work.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:17:24.904070Z

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 09a70205-ac5a-4e9e-a3cb-d9de36ca00ab · outbound

This paper cites Optimal algorithms for stochastic contextual preference bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Optimal algorithms for stochastic contextual preference bandits

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.893909Z

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=2026-08-05T16:17:24.587512Z digest=sha256:4802287775ef9ae80c026f3c0d2fa693ae83221ed7f1865b2578d170f0256786

Observation db58b597-667c-4936-aa2b-f378471997c1 · outbound

This paper cites Stochastic contextual dueling bandits under linear stochastic transitivity models.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Stochastic contextual dueling bandits under linear stochastic transitivity models

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.883046Z

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=2026-08-05T16:17:24.590957Z digest=sha256:f1d0f82959a3e65f4ff179a7e12ce700397375cb48169d6951ff6a276eedc11f

Observation 3064635d-caee-49cb-9b88-e502a2ab6629 · outbound

This paper cites Improved algorithms for linear stochastic bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Improved algorithms for linear stochastic bandits

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.871232Z

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 9c5ec52d-fe85-4d37-93cb-cf3059bee5a7 · outbound

This paper cites The k-armed dueling bandits problem.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits The k-armed dueling bandits problem

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T16:17:24.597623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:17:24.597623Z digest=sha256:502aa3cc54ba3e6d0da8f82f765481db4d180600acdc3f813fc36d3d758e6d89

Observation 4c16a021-d565-4c14-bd47-60667ab1722f · outbound

This paper cites Bandit algorithms.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Bandit algorithms

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T16:17:24.601330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:17:24.601330Z digest=sha256:aeb159fc2a0c9b0fba7a52a52aa15e50b4dde8cc2f642e3732d37f4109dadade

Observation d7712e6c-6280-4d1c-ab3a-3bceeed09ffb · outbound

This paper cites Preference- based online learning with dueling bandits: A survey.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Preference- based online learning with dueling bandits: A survey

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.849663Z

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=2026-08-05T16:17:24.604639Z digest=sha256:5be50e22992b228c51877976923ed198515c4c99a4de324ed04d75363eb62c26

Observation 774db49c-4d7a-48ab-b7c9-913c805142ca · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Provably optimal algorithms for generalized linear contextual bandits

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.838329Z

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=2026-08-05T16:17:24.608154Z digest=sha256:3880e5c9423dd9409fa1922e7cacee3ed5b646f9d308ef55f35137b752813fce

Observation bdedc48b-2b33-4354-be83-f7c904e592b1 · outbound

This paper cites Schapire, Aleksandrs Slivkins, and Masrour Zoghi.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Schapire, Aleksandrs Slivkins, and Masrour Zoghi

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.828391Z

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=2026-08-05T16:17:24.611354Z digest=sha256:36b7733e0ce7ef46d976cb6c82b458ad28caac5cb5bd018a1c94e8f235eb6e8b

Observation 81adce06-7c0c-45f5-8a1d-d660ef149bdf · outbound

This paper cites Efficient and optimal algorithms for contextual dueling bandits under realizability.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Efficient and optimal algorithms for contextual dueling bandits under realizability

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.818111Z

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=2026-08-05T16:17:24.614415Z digest=sha256:2695531859301d78d95795899c09f95b84d5240199837810178e6ac6a46dbc70

Observation ed57c707-6b97-43ee-9567-6301802db26b · outbound

This paper cites Pereira, Alberto Ueda, Gustavo Penha, Rodrygo L.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Pereira, Alberto Ueda, Gustavo Penha, Rodrygo L

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.807592Z

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=2026-08-05T16:17:24.617713Z digest=sha256:c71ac6b6ecd2bf26dbba597223439dd64215071effe45ce038b24715600a4906

Observation bab352fb-d4be-4cac-b7f9-b30686e012b9 · outbound

This paper cites Carousel personalization in music streaming apps with contextual bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Carousel personalization in music streaming apps with contextual bandits

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.796622Z

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=2026-08-05T16:17:24.621280Z digest=sha256:ad8d43a25b333fb4437765f28b23d945b15ff45e47fa03b0391ca9b37fb4d4cc

Observation 92dfc721-9466-4c9b-85a9-d75cdc85579d · outbound

This paper cites Contextual user browsing bandits for large-scale online mobile recommendation.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Contextual user browsing bandits for large-scale online mobile recommendation

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.785654Z

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=2026-08-05T16:17:24.624403Z digest=sha256:1d921bdea16be593906bafe10ac22df3a0e0bc911d60cfc2d7174bfc61f8c66b

Observation 07d2f385-b721-4694-a546-bb97cddd2e63 · outbound

This paper cites Online Bandit Learning with Offline Preference Data for Improved RLHF.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Online Bandit Learning with Offline Preference Data for Improved RLHF

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T16:17:24.627733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:17:24.627733Z digest=sha256:5dc637c85a25d1323fc4ec5f414ad32d6da09f34c92fc4f939fd08d7f7412bbc

Observation 2064b0ef-1a91-4180-be3f-c2769363c7a5 · outbound

This paper cites Training language models to follow instructions with human feedback.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Training language models to follow instructions with human feedback

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.774954Z

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=2026-08-05T16:17:24.631533Z digest=sha256:959b78bc0e61e87a9af11af572d96b0c6bbb2c33c0020a2ad88b37414f7f61a1

Observation d81319d8-d7bb-4471-99f5-d443f080ab27 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Direct preference optimization: Your language model is secretly a reward model

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.763650Z

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=2026-08-05T16:17:24.634932Z digest=sha256:59f1aee0ecbbc8c19d844545c11a86d90e94e42ff194691430eb0b00b65bbb31

Observation e7c8b7cb-da0d-4f9f-9406-be1c08276e8b · outbound

This paper cites On the performance of thompson sampling on logistic bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits On the performance of thompson sampling on logistic bandits

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.752558Z

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=2026-08-05T16:17:24.638102Z digest=sha256:be7ec4c672f0cb2d938d6bcfa741c12e9254d4ddb67e226a4a14ed7120ec2012

Observation c0fd136d-5a8d-49e0-a1c2-2380eda2085f · outbound

This paper cites Improved optimistic algorithms for logistic bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Improved optimistic algorithms for logistic bandits

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.741288Z

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=2026-08-05T16:17:24.641538Z digest=sha256:2ad38518f3a294fd81d729fde39b39c80e8066bdf1657661890f4f4c6624421b

Observation bb9928d6-4dbd-4307-81cc-a7a24add1f68 · outbound

This paper cites Instance-wise minimax-optimal algo- rithms for logistic bandits.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Instance-wise minimax-optimal algo- rithms for logistic bandits

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.730180Z

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=2026-08-05T16:17:24.644669Z digest=sha256:d4d89d86989a3897468c83fc2c017a151e8413172c7542820135c41363c185a4

Observation 4e2632d7-50b7-4e30-a58e-ff3604439a6e · outbound

This paper cites Elimination by aspects: A theory of choice.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Elimination by aspects: A theory of choice

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.719787Z

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=2026-08-05T16:17:24.648312Z digest=sha256:f021e7c1f9fa1713741fb003c31cd0a1806a4ab2efd3feb88d97e70a66a5f17d

Observation 0c5847ae-f3c6-4ec5-949e-4014f753644f · outbound

This paper cites Judgment under uncertainty: Heuristics and biases.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Judgment under uncertainty: Heuristics and biases

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.709329Z

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=2026-08-05T16:17:24.652130Z digest=sha256:829345b8b772eff8c8ef2b3e2d0416a2d700e120dcd5e2c0ac8d231f388d3723

Observation 4ddf7510-8eb2-4277-a864-2776f98d520b · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices.

Recycling History: Efficient Recommendations from Contextual Dueling Bandits Introduction to the non-asymptotic analysis of random matrices

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:17:24.697878Z

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=2026-08-05T16:17:24.655553Z digest=sha256:c357d209834dac4c0c448fe034cc0aaababecc0188d51fda329e2f030ffb5c89

Pith citing papers

No inbound Pith citation observations are available.