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Paper Citation Record · LEDGER

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2502.00841.

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

pith.paper-citation-record.v1
2502.00841 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:46:06.520061Z

measured 26 of 26 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:57:55.546368Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy16
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bd5a9d76-e1b1-4487-aa7a-2908c82976e1 · outbound

This paper cites Approximation Algorithms for Combinatorial Optimization with Predictions.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Approximation Algorithms for Combinatorial Optimization with Predictions

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T17:46:06.429944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:46:06.429944Z digest=sha256:09f8a80fa8428965fede052ac510bbd7c0610290134869326d6470f5f917faca

Observation b0414d79-0eb7-4506-ba53-2b83f36e1636 · outbound

This paper cites Parsimonious learning-augmented approximations for dense instances of NP -hard problems.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Parsimonious learning-augmented approximations for dense instances of NP -hard problems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.841837Z

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=arxiv_source observed=2026-08-09T17:46:06.434270Z digest=sha256:975903a4cfa0635c2346c33a9a5c402663dd72134d790386081bb5e2d374ce2f

Observation 5c28c5c7-97ca-4fd1-9862-01d9cf742b43 · outbound

This paper cites Noisy sorting without resampling.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Noisy sorting without resampling

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.831321Z

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=arxiv_source observed=2026-08-09T17:46:06.437745Z digest=sha256:5e5414961ff2fc0826c9c9eadb77a4381d646dda16c33f7fbfe1d2caad0637be

Observation 26c8e62e-8e3e-437c-84e6-c10b012814fe · outbound

This paper cites Sorting from Noisy Information.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Sorting from Noisy Information

Reference 4

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unresolved
no resolver link, observed 2026-08-09T17:46:06.441228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:46:06.441228Z digest=sha256:a0ffb7f5a9ac69aecdd3252e39eb418ba1d88db20ef240665e3d045ec01a9267

Observation d81b246f-5525-4b66-bfd7-e2ab4d9a535b · outbound

This paper cites Learning-Augmented Maximum Independent Set.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Learning-Augmented Maximum Independent Set

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.820152Z

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=arxiv_source observed=2026-08-09T17:46:06.445604Z digest=sha256:207bbdc6cac0430edffe869d328b5eb85563ed5e2d79af2c1c0a9ddd7a5aa232

Observation 07774c55-5669-48ab-a624-02999e396a0a · outbound

This paper cites Max-Cut with $\epsilon$-Accurate Predictions.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Max-Cut with $\epsilon$-Accurate Predictions

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:46:06.595897Z

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=arxiv_source observed=2026-08-09T17:46:06.449371Z digest=sha256:89fa81bdd8449cf183892331c04809e84c8f226ad5e0c061d74b08bab09dd764

Observation a04ad9b6-5f09-48d9-8e8e-3112430d2e99 · outbound

This paper cites Faster matchings via learned duals.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Faster matchings via learned duals

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.809642Z

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=arxiv_source observed=2026-08-09T17:46:06.453257Z digest=sha256:2665607dc198d9b55a6ee2c43062640d34bdfa5eb07227ecd3319c847f7dac74

Observation 60eac726-8e7e-49fb-a8df-a31cbd104b45 · outbound

This paper cites Learning-Augmented Streaming Algorithms for Approximating MAX-CUT.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Learning-Augmented Streaming Algorithms for Approximating MAX-CUT

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:46:06.578696Z

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=arxiv_source observed=2026-08-09T17:46:06.456645Z digest=sha256:68308315a3f5221e8932cd51b4c514823e933fcd190bd2b22d8b136bbfdb186b

Observation d251cd28-c7f8-49f1-9e2f-7418596d9973 · outbound

This paper cites Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Internet Advertising and the Generalized Second-Price Auction: Selling Billions of Dollars Worth of Keywords

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.796518Z

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=arxiv_source observed=2026-08-09T17:46:06.460496Z digest=sha256:d2482b49f6586af0ef2b9814e4c8ce3872b3e86e218baf83f59b09dde1c9d5b3

Observation 7069c198-88ec-47be-bd77-8645629860a9 · outbound

This paper cites Ergun, Zhili Feng, Sandeep Silwal, David Woodruff, and Samson Zhou.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Ergun, Zhili Feng, Sandeep Silwal, David Woodruff, and Samson Zhou

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.785214Z

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=arxiv_source observed=2026-08-09T17:46:06.463879Z digest=sha256:2ebca82e75d0d84d148e98f64532d2e1ca3101cb45e3f05e07baac11772ae1fc

Observation 5e7f6b17-28b9-44c8-a8e2-edc5b7ae4973 · outbound

This paper cites Externalities among advertisers in sponsored search.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Externalities among advertisers in sponsored search

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.774529Z

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=arxiv_source observed=2026-08-09T17:46:06.467234Z digest=sha256:ca01cd49b02ad600cc698b5b80bfaea6e0a1a7b72117196c5d9abfbeedc6c428

Observation 0b78d5e1-945c-4f65-a019-ad29c2c18fbf · outbound

This paper cites Approximate cluster recovery from noisy labels.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Approximate cluster recovery from noisy labels

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.763912Z

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=arxiv_source observed=2026-08-09T17:46:06.470442Z digest=sha256:df8f7f63d89fc82f016f2c5f28d74557f05e261340ac673254870bbbd2c29b79

Observation c92960cd-2fa4-4c99-a926-84afd9733999 · outbound

This paper cites Towards better models of externalities in sponsored search auctions.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Towards better models of externalities in sponsored search auctions

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.752489Z

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=arxiv_source observed=2026-08-09T17:46:06.474125Z digest=sha256:824782c3cfccbdd9187d4f31178529fe7985b1fc7a16cfc6703fcc6aed155375

Observation 26e2e2d4-7db6-4794-b257-c6c25b0d6a1e · outbound

This paper cites Constraint Satisfaction Problems with Advice.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Constraint Satisfaction Problems with Advice

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:46:06.560080Z

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=arxiv_source observed=2026-08-09T17:46:06.477856Z digest=sha256:c11ab8ec7ad19ad230f9c50a4d27e50c22c8f0662163c006654c8fc93241d846

Observation 1a380bfe-994e-411e-b412-2a239c7343df · outbound

This paper cites Parsimonious learning-augmented caching.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Parsimonious learning-augmented caching

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.741894Z

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=arxiv_source observed=2026-08-09T17:46:06.482098Z digest=sha256:6ec8988f0a773c0dab12f792ebcb73a27db7f0e2f4335cf07398ec3e159d7b4e

Observation bb65ae2d-0d8c-4375-bf94-d58803dee7c0 · outbound

This paper cites Which problems have strongly exponential complexity? J.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Which problems have strongly exponential complexity? J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.730500Z

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=arxiv_source observed=2026-08-09T17:46:06.485898Z digest=sha256:ed4a6cf90068b586af2bf614f1a3d60c47adef9a73f8d0e252f441bb78e72616

Observation d635e958-d2c1-4492-b981-7a3d4b120e17 · outbound

This paper cites an unresolved cited work.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-08-09T17:46:06.719608Z

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=arxiv_source observed=2026-08-09T17:46:06.489542Z digest=sha256:51db5b86b18a0b1f40557ef55d9ed5858c56227d80ce8e1f79a9244b2ef8afa3

Observation 0a5879a2-c633-4059-b4a8-b5dbef52c220 · outbound

This paper cites an unresolved cited work.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:46:06.708697Z

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=arxiv_source observed=2026-08-09T17:46:06.493269Z digest=sha256:684d4c20d33cb747935eac02087f1895a730bcf658578b43dfcee0822eb41e93

Observation 36f5b6c8-498e-4a71-8095-a4eb40279385 · outbound

This paper cites an unresolved cited work.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:46:06.698208Z

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=arxiv_source observed=2026-08-09T17:46:06.496988Z digest=sha256:33d2896681bab584242d0fc906ca118d76144c5e57d5085806d6f05804c8612d

Observation d5655453-7e16-42ca-b54d-8374aeb76205 · outbound

This paper cites Slightly superexponential parameterized problems.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Slightly superexponential parameterized problems

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.686425Z

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=arxiv_source observed=2026-08-09T17:46:06.500784Z digest=sha256:fbb83899b19b57de18a63f4ade607c97849d5671ed789942cdcae8e43c23c855

Observation ef819049-32ad-43ed-a692-b690b06ff85d · outbound

This paper cites Competitive caching with machine learned advice.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Competitive caching with machine learned advice

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.674265Z

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=arxiv_source observed=2026-08-09T17:46:06.504633Z digest=sha256:7f3c747b46615b9d2e5dc8d209a717835139315f8333dd25a931cb309fe9cde9

Observation acc7069f-9eab-4b32-81a6-129e53e98379 · outbound

This paper cites Allocating online advertisement space with unreliable estimates.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Allocating online advertisement space with unreliable estimates

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.662746Z

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=arxiv_source observed=2026-08-09T17:46:06.508495Z digest=sha256:dfa7c337991e738243355623549d5d7bb64893ae382332f7baae759d2640261e

Observation 8454d081-102c-4d68-a8ba-f03900ce1f05 · outbound

This paper cites Improved learning-augmented algorithms for k-means and k-medians clustering.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Improved learning-augmented algorithms for k-means and k-medians clustering

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.650554Z

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=arxiv_source observed=2026-08-09T17:46:06.512339Z digest=sha256:58e6faafd156a189cdf7a0f978142db717691e2f8412fde44555106c3f2484e3

Observation 04a2e589-7ca6-4463-9aeb-5b0477eb23f4 · outbound

This paper cites Discrete-convex-analysis-based framework for warm-starting algorithms with predictions.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Discrete-convex-analysis-based framework for warm-starting algorithms with predictions

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:46:06.638177Z

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=arxiv_source observed=2026-08-09T17:46:06.516359Z digest=sha256:6ad3d8bd458415fff121e7c33d8147b71d84c3460c11d0606e21d7bcfceb9545

Observation 359454a2-2b0d-47c9-bd68-49b95af16adc · outbound

This paper cites an unresolved cited work.

Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-09T17:46:06.627384Z

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=arxiv_source observed=2026-08-09T17:46:06.520061Z digest=sha256:c6bba9def0e2a397bd8ea3eba78d6b11d487dea64ee4fa56fba937d6d2af96cc

Pith citing papers

Observation b18f44ed-6c9e-49e6-846a-bd41667c8c3d · inbound

CASP: Learning-Augmented Offline Approximation with Verifiable Certificates and Bounded-Loss PAC Guarantees cites this paper.

CASP: Learning-Augmented Offline Approximation with Verifiable Certificates and Bounded-Loss PAC Guarantees Polynomial Time Learning-Augmented Algorithms for NP-hard Permutation Problems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T01:57:55.546368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:57:55.546368Z digest=sha256:b17316f449ac3747d1c8e91767814655cb273e7b0efc7bc3b672474e553af4ac