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Paper Citation Record · LEDGER

Improving Reinforcement Learning Sample-Efficiency using Local Approximation

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.12383.

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

pith.paper-citation-record.v1
2507.12383 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:54:44.391647Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved17
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36e8ad24-28da-4787-8909-6839a3137d65 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:45.056126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8b1485cb-dc14-4c6a-addc-54fa2318c6ab · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:45.045123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 627c469c-9394-45d0-b035-5a72a899c7d9 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:45.034610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 288149c8-0576-4ce8-a969-f7582c8d5b3c · outbound

This paper cites El Sallab, M.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation El Sallab, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.024317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fc57a248-f5d4-4b0b-81fd-a18ec8094cbf · outbound

This paper cites Fiechter.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Fiechter

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T16:54:44.874896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:40.574107Z digest=sha256:e9f063d09b2b972e28a690ace119c6babee1ddca2b75dd47277045a4522f253e

Observation 9fddb9e4-aab6-44c6-b5ff-cac7169ccfe3 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:45.015390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 073714d5-ddfe-45ec-8366-4887847a0c9c · outbound

This paper cites Hoeffding.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Hoeffding

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.005775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b1f8c98f-e492-4747-a42e-30539bdcc88e · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 8

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T16:54:44.720983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:40.732437Z digest=sha256:5fab9e9b85ce123145a4e988265772adbf1138bfe901f805c16fbea1be340edb

Observation 9a3f6045-c328-4ee5-87bc-33262945b78c · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.996279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:40.801515Z digest=sha256:a133ab786b9831d3ed9b627e5c7845c058dfdc3ee32d619953bf8e872e70941d

Observation d5d7c6a5-2a4b-4dbf-b3ca-39d978a95a79 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.987367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:40.869908Z digest=sha256:4b63e96763e7d35d3e548c1d7cdceb8b06b4ed237df722799c4e40ad66607421

Observation bd6dd534-1291-44d3-87ed-5d6bdc46f17c · outbound

This paper cites Kakade, M.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Kakade, M

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:44.978416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 87039129-db65-4aee-9e6e-769c71a369c1 · outbound

This paper cites Kearns and S.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Kearns and S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:44.969359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:40.987317Z digest=sha256:bcefa967e5ad80da1d7beb30bc9590b5a724a10555b6d0fa11cbb3d1bad8c609

Observation d34893be-1cb0-410f-8f38-1798fbe1ff6c · outbound

This paper cites FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:41.059956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:41.059956Z digest=sha256:40f6532cd31dbc7bd481ba215620c410e84ca82e1987b902fe63c3706606a8cc

Observation fe86f185-c4a2-47d6-8fe8-11b9f0a69f9e · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:41.128944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:41.128944Z digest=sha256:4f5cda3b2e551ea47c042d2a01a40afcee87fda0e7647e789df822495c7e4648

Observation f143e1b1-a33d-4a99-923b-ccc3a1e5af37 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.959921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dc689a0a-2d85-4f71-a026-7dd16bababab · outbound

This paper cites Efficient Model-free Reinforcement Learning in Metric Spaces.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Efficient Model-free Reinforcement Learning in Metric Spaces

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:41.265796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:41.265796Z digest=sha256:8d91870dbcdbdb550db5375b15c31ed77a8b06a9f413069fed9fc8266447d91b

Observation a40d6a98-3076-4932-b518-e21ded46c7d0 · outbound

This paper cites Strehl, L.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Strehl, L

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:43.910209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:43.910209Z digest=sha256:b65cc344290bb218770a5fce57d42d1da9207c0c4d3f8320a69c2d635edcceda

Observation eba5bf7f-310e-4029-81a3-385032a923e0 · outbound

This paper cites Szepesvári.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Szepesvári

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:44.949553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:43.913769Z digest=sha256:41e996cad6b52071bac5a47b0be3fcbd67017cbb098552f49cfb6a77e7d148a1

Observation 129f8a09-5992-443d-8d5e-446810353e36 · outbound

This paper cites Szita and C.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Szita and C

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:44.940100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:43.917276Z digest=sha256:d4aa7c7b7d99f33d155ee24cd2ee17935ff2361dac235dc9c4389a46cf0b02a1

Observation 0a5e8bc4-3f14-4b1b-8b4d-405652fcdcb9 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.930885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:43.968331Z digest=sha256:fecd12e17e9929e34dc7bac7cae509d223388eeceb679c7c8c5ba1adc256cd0a

Observation 7d3c0f8f-9104-415b-bf5e-65a9febbb291 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:44.046613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:44.046613Z digest=sha256:72cd22f40210e94e6832e2b61d86070ed1f4c7e319853807cf47e295a6490a3a

Observation 77e5ebef-01b1-4524-9578-41ef135196b5 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.921561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:44.107471Z digest=sha256:4fd15fc00aa8cef5b82f8b652142fd70f16b598a3a27bd640542c283e8870796

Observation 96600550-83c5-42eb-92b8-0f4874c1c606 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.912359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:44.211633Z digest=sha256:f348800160887fd372d960e67083ef5ba1a3b4912588ff7133f5d1412fe621e0

Observation 737d4394-0fb5-49e8-98e1-fc46ce30160b · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:44.313035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:44.313035Z digest=sha256:ef709a919b10c736f5b61ea5acf4d477c8199f44d4e9a3d40fbbae2da96788dd

Observation 84b93d47-ca72-4cf4-91f9-7d042c738a70 · outbound

This paper cites an unresolved cited work.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:54:44.896125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b3aa469b-46bb-4999-abbc-c00eeca17486 · outbound

This paper cites Zhang, Y.

Improving Reinforcement Learning Sample-Efficiency using Local Approximation Zhang, Y

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:44.886156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:54:44.391647Z digest=sha256:41844299da4f25a61cb452deb52af056179d252701141d38ae5a23f0a0dd814b

Pith citing papers

No inbound Pith citation observations are available.