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Paper Citation Record · LEDGER

Provably Efficient Reinforcement Learning with Linear Function Approximation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1907.05388.

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

pith.paper-citation-record.v1
1907.05388 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:54:13.863800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:49:01.921708Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 70db911d-5bc8-49d7-9b49-3b148c7fdae3 · inbound

$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank cites this paper.

$\sqrt{n}$-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank Provably Efficient Reinforcement Learning with Linear Function Approximation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T04:54:13.863800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:54:13.863800Z digest=sha256:3691128e2546bba0779dfbbd0ff7598e33c7ffb6c277b0296ea44abe1749ac12

Observation fe812a04-aa3f-427b-9898-609bb95c18b5 · inbound

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation cites this paper.

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation Provably Efficient Reinforcement Learning with Linear Function Approximation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:35.946251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T19:13:15.234351Z digest=sha256:da6b934507e2beb6273ef5a1d4b6d0aeb8efa8aa0582dd9ba95e5b1250151841

Observation 5d06263b-74ef-4fa1-bc0e-49d7fcb93c07 · inbound

Bellman-sufficient Information Complexity cites this paper.

Bellman-sufficient Information Complexity Provably Efficient Reinforcement Learning with Linear Function Approximation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:47:38.226185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T13:39:24.488442Z digest=sha256:61132c61877ec2f21a29584f3e5cf5211dcb043babc264c6142b0133c14df6a4

Observation 414fb887-a556-408b-90bd-423f5d645709 · inbound

Bellman-sufficient Information Complexity cites this paper.

Bellman-sufficient Information Complexity Provably Efficient Reinforcement Learning with Linear Function Approximation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:49:01.923307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-03T23:44:25.951719Z digest=sha256:30cb42c1486cc24a379d8ec9a1b5341605f76f4b0f7dfdc4b135686f80319042

Observation c5ecd9fa-2d4b-421b-86e8-fca5a2d520f3 · inbound

Bellman-sufficient Information Complexity cites this paper.

Bellman-sufficient Information Complexity Provably Efficient Reinforcement Learning with Linear Function Approximation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T14:23:15.089919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T14:23:15.089919Z digest=sha256:cc9a75e28509fa6277a9d7e99ecef4664c1b0dcf9c086c679a9d86deb4866465

Observation c496e685-b1f3-4c74-8553-bdac69a70c1f · inbound

Bellman-sufficient Information Complexity cites this paper.

Bellman-sufficient Information Complexity Provably Efficient Reinforcement Learning with Linear Function Approximation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T11:53:51.087284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:53:51.087284Z digest=sha256:9bbb02b9e7ddb1f8c03221ef65955db7fab2c1802920483618bc039740e0dfae