Pith. sign in

Paper Citation Record · LEDGER

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.13184.

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

pith.paper-citation-record.v1
2412.13184 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:25:20.519329Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f20da02-2868-4130-95d8-348974df9ef7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.360748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.360748Z digest=sha256:4620ad670be35d71eaa6192d56df2c4c0a2253004b1c3778650b045ecdac4c8e

Observation 7b72a4b8-e6fd-49ac-95b7-447d83857c0e · outbound

This paper cites write newline.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.367650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.367650Z digest=sha256:9041fdec1b2712fadc2e5f48e4de920f66055defabef7e224bc0d817485550d6

Observation 0b3169f7-489f-45f6-9881-4a688cd4859f · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.374887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.374887Z digest=sha256:661eea9b11d867783b3938a82d2a4d38b8b7238b97e29d126e04bf3614fa3886

Observation 2f0e69ce-16c3-486a-ac59-a74e6a7c719e · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:21.014523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.380175Z digest=sha256:d291aa18cb6439a8b05bd9f36941b5ea30605944eee71ec3290ca506e31e2aea

Observation 056416b3-3991-4216-9f8b-3db42d22458a · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.994096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.386177Z digest=sha256:5af5a833b0a9c2bcad394f886bdf084bd72dd74a9f20b1098c4f71aa5b875964

Observation 6b619a9e-1326-4f29-9d34-18843788179b · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.975427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.391897Z digest=sha256:db6b3531a950eb33ea76217c0e1fe820a5bfc7cc1bf05ed838f159922900623b

Observation 08ceaabd-1711-4c9e-ad13-e2b433955274 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.958100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.397667Z digest=sha256:712775c8a5a4518a5df660c1fd897c64c9692b7eeff93a3cade380bea850686f

Observation be6730cf-deba-4ec2-a7ed-f986c6537d34 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.939156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.402750Z digest=sha256:de4d7beded07036154067293cb933d05eaddd4d148e07d1bd26ca9be82a6f3c7

Observation 9154e3b3-b65a-4296-91cb-2bd89f6ba439 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.921647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.409117Z digest=sha256:15e416eacc15cfdd62d260cf7ad2cfc07e8b60c071094a0fee16e52ae6addb30

Observation a9c32ae2-d861-4e38-b9db-6fc5d7a70edd · outbound

This paper cites M.; and Burdick, J.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning M.; and Burdick, J

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:25:20.903489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.414470Z digest=sha256:3fe6cee0a3a30d82a6c16da01b586e595f3d69984c07bdeac02f511e130ab8bd

Observation 9ee62f12-db77-48c1-a34c-d90cdc215617 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.883054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.420733Z digest=sha256:8f7d2fab39707c34fec8f750fd296362f7d340a47a1205c8edad84f24387d15e

Observation 83498c71-dbc1-4c07-bc1e-dfde36ddb905 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.866115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.427170Z digest=sha256:f86acc886d799c41b48aea5ac529753d8a7b111408fb8e92522a405a6d15a36b

Observation 65db79fa-e40a-40c4-b33a-3d70b4bb182b · outbound

This paper cites W.; Peng, Y.; Fu, M.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning W.; Peng, Y.; Fu, M

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:25:20.849351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.432809Z digest=sha256:aa1d5b2e069c62bb3cc74bf2e0829bf5af0474350ffb533bf5b67971750345ff

Observation 986ccb99-f65e-4d81-a2ee-1361b51f46ea · outbound

This paper cites J.; and Liu, G.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning J.; and Liu, G

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:25:20.833118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.438265Z digest=sha256:4ff8d0f99ddedea62379b497b2d7922ace71c0ae5cfc2d013f665b1738e08200

Observation 67164917-5b33-4f7a-9ff1-cb0dfaaa90dd · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.816360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.443257Z digest=sha256:26b79a9165e291759ef9fe8e235f1726818eb6f895fc606b0e8551d468a8f7fc

Observation dd1c7139-8832-44d3-85d0-f0ca4bebe2fd · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.798301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.448044Z digest=sha256:e8c6c6cc45c655c64f9dd7a788bce255b607ead22b73b124f2b40bbe6c336543

Observation 3d5be9a9-1e12-4fe1-a543-32d7c6d859ee · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.781834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.452706Z digest=sha256:ebe3b9c810dea12b81aa0fa9feeadd66555b1f32dab34b62382856e01dbf923c

Observation 7c2c0def-25b7-438f-bb8c-16f8304b8d18 · outbound

This paper cites Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.457721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.457721Z digest=sha256:798e1a849932dfb0d525fb41a7b75f8c1c336f1d6981ec87833c3fa4d9268f34

Observation 816bbdac-1e56-4722-bd7d-26baf3a2f5ed · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.765313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.462811Z digest=sha256:0acea4de7804e56b24fafe39b935e1898b4c899dc1df7b5dfafa969da0c2a8f6

Observation 8c0271c6-eb49-4bba-9823-ed30dab70c07 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.748369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.467831Z digest=sha256:ffa11284608c7582a751b2af53a04da00634581e93840f15e0c226194d46ce21

Observation f4ee3b1b-6b16-43f5-be71-d299fc07a42d · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.730170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.472739Z digest=sha256:d10f808627f715cd322bd65c791a1fae702e17231b21a9d7826d860747a6ac93

Observation 986d1d72-1eac-4dad-85cf-f391f02145be · outbound

This paper cites E.; Xie, G.; Zhang, C.; Guan, Y.; Mu, Y.; and Sun, E.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning E.; Xie, G.; Zhang, C.; Guan, Y.; Mu, Y.; and Sun, E

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:25:20.714454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.477793Z digest=sha256:f8c53fa04a28db0e0b564d356952bbe0a298a14293c7e58e1a8da8fc5ad2fd16

Observation a7fd4867-acfc-47b9-a795-bf0c7bdc4596 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.698551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.482647Z digest=sha256:f437061b7787170b7fb5752d75ac7dc9a69987969fc41fbc23bb6670c3d7b395

Observation 934050cb-8b8a-4631-b9f4-01d9a4ccffe1 · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.681418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.487802Z digest=sha256:100255050dfdbc5764ab9bc67e07751bd24cd336aef0ba7e4621ceb4f748aafe

Observation a60c3d20-d2f6-4867-82f9-970da985a5bc · outbound

This paper cites Proximal Policy Optimization Algorithms.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.493438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.493438Z digest=sha256:97a0cbf8eb8dfbebcdddb5cde362c671f3ec25c74ea64fbd56955039d4a42039

Observation ead9c4cf-ad48-455d-b8d5-126eae5dbadb · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:25:20.663944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.498220Z digest=sha256:0aea3be7881b831c3ce09fcf9fc803586084a5450b8b7439de13dfe0f3bdc56d

Observation b0bd5300-83ce-46a4-98d1-076dbd8826fe · outbound

This paper cites rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:25:20.601321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T13:25:20.502923Z digest=sha256:bf9f4816f59a6ecf3ab369d7a2afcd0a893943d96113594f181859aaabdfeacc

Observation b81b101d-1597-4c91-b7f8-4c49d99bf5e4 · outbound

This paper cites Reward Constrained Policy Optimization.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Reward Constrained Policy Optimization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.509111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.509111Z digest=sha256:b54dd14681d4607836fd0abc22bdcafe9d5656fb4999f379ed9be32c174c4e9d

Observation e243c4c4-509f-4358-80a6-f824fcaa5c5e · outbound

This paper cites an unresolved cited work.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.514480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.514480Z digest=sha256:d70d87cf0dcc1526fd9d73482e6091d6baa716e9cd491116c43d3a2818bf6127

Observation 0d99bba0-a693-46f3-9ef9-bf4d1c4f5b14 · outbound

This paper cites Projection-Based Constrained Policy Optimization.

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Projection-Based Constrained Policy Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T13:25:20.519329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:25:20.519329Z digest=sha256:2ce0b530ad860d30494774c2f294048f395f355054a25f647cd247ce40356c15

Pith citing papers

No inbound Pith citation observations are available.