Paper Citation Record · LEDGER

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2505.11491.

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

pith.paper-citation-record.v1
2505.11491 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:34.869160Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:37:54.633059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:10:53.442627Z

Reference resolution

51 of 51 outbound references displayed

verified exact2
verified fuzzy39
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e1f3162b-e2e5-4055-a42d-c3f140e34b17 · outbound

This paper cites second order.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis second order

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.790930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d331c2c1-1568-4b15-a632-f5a84a7c8e16 · outbound

This paper cites , author Senocak, I.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Senocak, I

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.773933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70084aee-15f8-4091-9731-c8f4a4604cdd · outbound

This paper cites , author Friedrichs, K.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Friedrichs, K

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.756557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef236de1-0b6b-4691-9cd7-8c4c3f3063d9 · outbound

This paper cites , author Kang, J.G.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Kang, J.G

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.737303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 582a66b6-68a0-4d69-80bd-82f1f44cb3a4 · outbound

This paper cites , author Lv, Y.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Lv, Y

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.719724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8ac5395-3557-4d2a-8226-284a9e8ed313 · outbound

This paper cites , author Liu, C.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Liu, C

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.699004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78954965-3952-49bb-9a94-b21c38896805 · outbound

This paper cites , author Knapp, C.H.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Knapp, C.H

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.680462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccb39bb7-c8b2-49a7-81e7-00ccbd0678ba · outbound

This paper cites , author Herring, R.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Herring, R

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.663371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5588068e-ccca-40ed-9324-2d89bc952927 · outbound

This paper cites , author Stinchcombe, M.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Stinchcombe, M

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.644909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3700400-2e27-4232-9e3e-ad8aea1c1145 · outbound

This paper cites , author Lim, D.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Lim, D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.633171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ec31a77-ae34-42c9-8a38-51faffc43649 · outbound

This paper cites , author Liu, H.X.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Liu, H.X

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.611620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 266f83de-4097-4e5d-a289-eac059b8b2fb · outbound

This paper cites , author Liu, H.X.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Liu, H.X

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.590431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8b731b2-35f2-4612-901b-1aa90731341d · outbound

This paper cites , author Kevrekidis, I.G.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Kevrekidis, I.G

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.664312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbaafa87-c49a-469b-84d8-7f139613d6be · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis Adam: A Method for Stochastic Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.669065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c049ac52-0398-4cc7-8ebf-465339c69113 · outbound

This paper cites , author Gholami, A.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Gholami, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.558761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 828b9073-f0ca-480f-85ff-ccde24da70eb · outbound

This paper cites , author Li, Y.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Li, Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.540481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef4410bb-ef67-40db-9c7e-ec3c06eda38d · outbound

This paper cites , author Whitham, G.B.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Whitham, G.B

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.523633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 085a8b47-c293-42cc-ab31-17cec61a3062 · outbound

This paper cites , author Jiang, R.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Jiang, R

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.506611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6da496e2-caad-4303-8554-480db8495547 · outbound

This paper cites , author Li, C.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Li, C

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.489124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e80ce681-57c4-4183-91de-13139f1d5b3f · outbound

This paper cites , author Shi, R.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Shi, R

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.701280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0976e73-ba92-4eae-a033-362cc66442ad · outbound

This paper cites , author Schreckenberg, M.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Schreckenberg, M

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.461564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation edb95ecf-7b46-4985-8b58-5f4124aa5bcd · outbound

This paper cites , author Leonard, J.D.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Leonard, J.D

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.443782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca692db5-f024-4d7e-a4ee-0aa1559e38fe · outbound

This paper cites , year 1975.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , year 1975

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.425974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8261fd7b-f888-4ca6-b14d-a1da67261680 · outbound

This paper cites , author Lang, A.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Lang, A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.407025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a14ca28-6050-4eb3-8c9e-7193e6a99760 · outbound

This paper cites , author Sokolov, V.O.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Sokolov, V.O

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.391205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b219412-bbf0-410f-bcdc-d515433987bc · outbound

This paper cites , author Herman, R.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Herman, R

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.375366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2e22598-db11-44d8-9b34-6dbc21cba83a · outbound

This paper cites , year 1956.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , year 1956

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.746629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e590597-7f45-499a-970d-929aa451d912 · outbound

This paper cites , author Koltun, V.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Koltun, V

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.751243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26c103a7-fd03-4477-a761-92e9b123796b · outbound

This paper cites , author Bayen, A.M.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Bayen, A.M

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.755520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ca910b-00f6-4c6d-9777-4a51443aa746 · outbound

This paper cites , author Mo, Z.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Mo, Z

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.321849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef2f877e-259d-4199-aed0-1c2aeffae130 · outbound

This paper cites , author Katsoulakis, M.A.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Katsoulakis, M.A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.293688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60116b1a-7b1a-4a46-b872-e96a2a0570c9 · outbound

This paper cites , author Gazis, D.C.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Gazis, D.C

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.275773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb0f3cce-1df1-423b-ab42-405d52fbc736 · outbound

This paper cites , author Woo, S.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Woo, S

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.258816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93ba21fa-dc1b-4cfe-9e81-e393006f6104 · outbound

This paper cites , author Zhang, G.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Zhang, G

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.240969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 080e85c5-c8e9-4e91-9c27-a0a0cfb55429 · outbound

This paper cites , author Jin, L.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Jin, L

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.224656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 663aec0b-a44d-4ccf-bc3b-f15c4313adf6 · outbound

This paper cites , author Ambadipudi, S.V.R.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Ambadipudi, S.V.R

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.790646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6398aaa-2dc1-4bf1-aaef-ac363bdb5983 · outbound

This paper cites , author Huang, S.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Huang, S

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.194230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc385ffc-8523-43c3-9b38-78627202c63b · outbound

This paper cites , author Papageorgiou, M.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Papageorgiou, M

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.801216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c651d84e-50aa-4b4c-b4c6-e097b33e0c30 · outbound

This paper cites Physics Informed Deep Kernel Learning.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis Physics Informed Deep Kernel Learning

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:34.955835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f871ded6-1228-4d49-b875-cd9e65acbcba · outbound

This paper cites , author Tan, H.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Tan, H

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.164899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5546cc55-44e4-432e-a602-ae26967bba47 · outbound

This paper cites , author Ka, E.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Ka, E

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.148081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b74ced81-ef88-4cdf-81a6-6003d19dd423 · outbound

This paper cites , author Gholami, A.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Gholami, A

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.129515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9fbb946e-1c58-4a10-b34f-0d35a678eb9d · outbound

This paper cites , author Gholami, A.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Gholami, A

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.113534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 555767a8-55e2-4655-87b2-5a6f4f5cdf8a · outbound

This paper cites , author Murray-Tuite, P.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Murray-Tuite, P

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.096965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 862cbf4e-b9e4-4a6d-bd49-f4df1672d3e6 · outbound

This paper cites Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:34.929054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 56a634e7-2342-4792-ae63-5f96531094c5 · outbound

This paper cites , author Wang, Q.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Wang, Q

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.078378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f80226f-ab1c-424c-9a2d-6762c147819d · outbound

This paper cites , author Zhang, Z.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Zhang, Z

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.062797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31672efc-b80b-4030-adc3-0ba59c82256d · outbound

This paper cites , year 2002.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , year 2002

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.045570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8bca6e56-79c2-4e41-b7cb-a27f2acd54b2 · outbound

This paper cites , author Yang, X.T.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Yang, X.T

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.029043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5035f37d-12a2-4e69-8b72-487ed7c63499 · outbound

This paper cites , author Lingras, P.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis , author Lingras, P

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:35.009486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c770b0d-5453-41dd-b4fd-399900a0e64b · outbound

This paper cites write newline.

Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis write newline

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:34.869160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4b945d49-a78d-4f8c-bf26-17334dcf5259 · inbound

Adaptive Domain Decomposition Physics-Informed Neural Networks for Traffic State Estimation with Sparse Sensor Data cites this paper.

Adaptive Domain Decomposition Physics-Informed Neural Networks for Traffic State Estimation with Sparse Sensor Data Potential failures of physics-informed machine learning in traffic flow modeling: theoretical and experimental analysis

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-21T01:20:32.824202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.