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Paper Citation Record · LEDGER

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?

As of 7 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 3 inbound Pith citation observations for arXiv:2507.13246.

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

pith.paper-citation-record.v1
2507.13246 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:32:02.200543Z

measured 75 of 75 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:18:09.802275Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact2
  • verified fuzzy35
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 074f7cca-ea2b-4344-9229-70f6ec54164b · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:08.920924Z

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 30558ca1-8c70-42b0-8dfb-176651987c61 · outbound

This paper cites Masson, E.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Masson, E

Reference 2

Resolution
verified exact
doi, observed 2026-08-06T16:32:02.229313Z

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 81ddb1f9-dc67-41dd-a50f-a6fb31492f59 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:08.579020Z

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=2026-08-06T16:32:01.957866Z digest=sha256:5e31e343f87d83e968e052ca4c5f6f5e0c16c71f8efb36d43f254360011446b6

Observation eb1e8a03-1e36-400a-a031-44f58906cc23 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:08.272076Z

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=2026-08-06T16:32:01.961452Z digest=sha256:bcd6c7d63d9a7f140ce831aeb12db7cf36de17a2edb2e23c56ef65d67616c28d

Observation db8bc0f7-5d6e-44e4-a7b6-588a43a996bb · outbound

This paper cites Battaglia, A.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Battaglia, A

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:07.961435Z

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=2026-08-06T16:32:01.964797Z digest=sha256:1a06e32925583ee2d79e13dbb07b273e929eec8fe5e6704a54699cbbaf9ed9ee

Observation f02e4849-e42f-4368-a90e-abda9fc3b988 · outbound

This paper cites Sayed, A.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Sayed, A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:07.654361Z

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 15580710-1ae1-4829-b766-4d49709584f9 · outbound

This paper cites Ramanujam and U.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Ramanujam and U

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:07.481672Z

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 1a18101a-ec2c-49b9-9e8c-39162a631acc · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:07.315947Z

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 daf78492-c7bd-4193-a4d8-415481991845 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:07.173641Z

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=2026-08-06T16:32:01.978506Z digest=sha256:73158335233372a0910aef947b26fbe968f2a88cb9142cffc674f6a93516ab54

Observation 7aa721c0-fd0a-4510-b90f-8bffb3840750 · outbound

This paper cites O’Regan and M.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? O’Regan and M

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:07.049745Z

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=2026-08-06T16:32:01.981793Z digest=sha256:f0ad5cfb06ca41b682d05387cc72e691dd205ac0c61c5521880da11b121a11f5

Observation 93be2a5d-87ce-42a0-bbcf-ac361327c943 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:06.858438Z

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 586f7e57-6333-45d6-9fd9-83df3a38dfa9 · outbound

This paper cites Zakutayev, J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Zakutayev, J

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:06.655515Z

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 c8f22a22-23d6-477e-accb-c45c601d250e · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:06.491350Z

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=2026-08-06T16:32:01.991924Z digest=sha256:d29315ad80d9e4b30f7c4a303801e98709cbde5c11c515186852ad227c6221d4

Observation e2941eff-1e4e-4352-acfc-638b036b362e · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:01.995056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:01.995056Z digest=sha256:89176a9c2408dab876016089d96317944c4fd97dda7973da6aae46195a44752a

Observation 834794f5-dfc6-4c5e-a5bc-12faf89a96ca · outbound

This paper cites Wu and Y.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Wu and Y

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:06.340942Z

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=2026-08-06T16:32:01.998192Z digest=sha256:c4041ce6f14914f54be857e1ddcc2ed963ef45088184287427fdfcfb8905f823

Observation e4f70c4e-3e42-40e4-9205-490590d47a14 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:06.141664Z

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=2026-08-06T16:32:02.002034Z digest=sha256:5a89a4dd70dac1013239bcd695eb6ba59f169b80a5a4f5612ec7cdd89d69b04c

Observation a007f646-34f6-4560-aee3-6eb31231fd09 · outbound

This paper cites Yadav, R.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Yadav, R

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:06.004296Z

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=2026-08-06T16:32:02.005154Z digest=sha256:aa1d5fd5521a9ab3b313f4c8e664a21bd90c68166476c3859f7add1adb4ccaf1

Observation 13ef8c96-2c0d-43a0-87bf-ec76c19f1134 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:05.843307Z

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 6c8ae3bd-040b-4c22-88eb-5622c10241fd · outbound

This paper cites Vidal, S.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Vidal, S

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:05.692474Z

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 b1535142-166c-4afc-8913-934c5f68e786 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:05.506587Z

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 2aa8b4c8-a340-4711-b0b2-464a9591f611 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:05.346675Z

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=2026-08-06T16:32:02.019972Z digest=sha256:41a08612bb1439673302d0cbad2c1ad4ecf3f76d302af5293bc636eb7409e6c1

Observation a9389a83-9c15-4a19-8da5-dee6c5e4fbb8 · outbound

This paper cites Yang, W.-J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Yang, W.-J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:05.172453Z

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 3fcc1a11-3cff-4a18-9994-f29630aa8df8 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:04.989850Z

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 c44a0388-933c-4f77-9daa-829c7a0c0d5d · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.029895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.029895Z digest=sha256:ad07a5e20f985fb4040568489c81cff28c36899d6fafc25fde86634f88d6d1a9

Observation 7a3f7dcd-cdb8-43ed-a52a-29ffee0fc7c5 · outbound

This paper cites Courty, V.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Courty, V

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:04.806992Z

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 3dddf99f-e5b7-41ff-a913-e28e649574ba · outbound

This paper cites Shockley and H.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Shockley and H

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:04.625459Z

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=2026-08-06T16:32:02.037060Z digest=sha256:bb81da9b77b5a3f29382a3ae11a58897ed7922db412e3670c10b1e9deecfa6a0

Observation 734e9824-bf7d-4d5d-8000-d050af8dc912 · outbound

This paper cites Yu and A.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Yu and A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:04.387609Z

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=2026-08-06T16:32:02.040142Z digest=sha256:a57fc5a14c3439fedd35f4a9225f67f4abdbbe3142ee0abb38310b2f6bd22a1c

Observation 7958a1bb-2e59-4975-afa9-5122ca0e360e · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.044200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.044200Z digest=sha256:c778bd70f1119b145ffb74c51781f5d77aa8269e8e9274591a7e1cda2565297d

Observation db9fea57-3f93-4a9f-8815-864a97cb12a4 · outbound

This paper cites High-throughput optical absorption spectra for inorganic semiconductors.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? High-throughput optical absorption spectra for inorganic semiconductors

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:32:02.307072Z

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 d8f8ae45-6523-4c58-b4ac-225498368695 · outbound

This paper cites De Angelis, ACS Energy Letters8, 1270 (2023).

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? De Angelis, ACS Energy Letters8, 1270 (2023)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:04.188171Z

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=2026-08-06T16:32:02.051843Z digest=sha256:27023d7fa34314363aa29a719cf7629e0656eb8bfb73a7d34b93bc32fbdc6414

Observation 945cf99d-d529-48c0-b3f6-bfa06d83f304 · outbound

This paper cites Lany, Nature Computational Science3, 675 (2023).

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Lany, Nature Computational Science3, 675 (2023)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:04.031523Z

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=2026-08-06T16:32:02.055042Z digest=sha256:bf96c4c2288971d868d6fc78bdf35c3e915c73cb4afd0e4c977a2f1839747201

Observation 4e6353ef-ce3e-4ccc-8dff-e306df68f2bc · outbound

This paper cites Woods-Robinson, Y.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Woods-Robinson, Y

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:03.887551Z

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=2026-08-06T16:32:02.058367Z digest=sha256:3598ab118899a76209f967650b1c5796136e7e5f5ad41d97e497b5e2e09c29bb

Observation cab03eef-ddc5-425c-9f30-291b6b76b6bd · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:03.757467Z

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=2026-08-06T16:32:02.062290Z digest=sha256:7ccf31d61d1d265428ccf2d28c3693473091a5a36524821015aaf3cdce510001

Observation 43dcb7c5-d523-4bad-bce6-f75a031952ca · outbound

This paper cites Banko and E.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Banko and E

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:03.589026Z

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=2026-08-06T16:32:02.065927Z digest=sha256:474e6616ba6f38028c42fb07b48f81930b106ac9f79f1f90b0ae86d93db1ac2b

Observation 7b28b5ef-87bf-4b28-bfc8-2b5db1047834 · outbound

This paper cites Amodei, R.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Amodei, R

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:03.423717Z

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=2026-08-06T16:32:02.068934Z digest=sha256:2207b57e9127ed5c3c8b9d43648dc690931d4b5b81898e932cb5d09c281bde72

Observation 8e8cb9b9-1ceb-4fa9-8051-7f583dd3fff8 · outbound

This paper cites Hestness, S.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Hestness, S

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:03.288554Z

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=2026-08-06T16:32:02.072269Z digest=sha256:eb52bfa7387dafcfdfd3119a9015ff6c6bf44813346e299afd49e9df597a35b2

Observation c1068930-e497-416e-9b18-6666852262f3 · outbound

This paper cites Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.075560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.075560Z digest=sha256:f18daf8c8d04f9cba59561aaef8840a635171009cdad54a976f33f5a284b6300

Observation 1d34e08a-47b6-4f60-b90e-c7e1b8cd8781 · outbound

This paper cites Bailly, C.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Bailly, C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:03.143617Z

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=2026-08-06T16:32:02.079062Z digest=sha256:373a4f18e1fa1e4ee0a11113e632addba1439d5f6eccb7a56dd73c0b0a44c9ba

Observation e7125f59-67a9-483d-98db-bcfafc7c6619 · outbound

This paper cites Lessons from the trenches on evaluating machine-learning systems in materials science.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Lessons from the trenches on evaluating machine-learning systems in materials science

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.082275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.082275Z digest=sha256:b8c4401e1caed6669c6cc0747d71d80e2ad9ccef9a2f1d5c7c72e3441f96477e

Observation 81c5c556-598f-4da5-bc7d-710717d4a152 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:03.002488Z

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=2026-08-06T16:32:02.086501Z digest=sha256:449680e62213bc912e12674311f5181029de24daec34ef6750f65f2ddf7e21f6

Observation 507d24ee-4655-4d0c-8397-bfda237f3e14 · outbound

This paper cites Choudhary and B.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Choudhary and B

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.803205Z

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=2026-08-06T16:32:02.091066Z digest=sha256:3157f1e54b6bc49e08e8deab46d8506e402aab5db59e0b008601a4b052b58cf2

Observation 35138488-43e1-4ac8-bf04-939fa9aaa34b · outbound

This paper cites Choudhary, Q.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Choudhary, Q

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.692932Z

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=2026-08-06T16:32:02.094534Z digest=sha256:9124cf4d833d82e2abd01d464ab464647980ae750514e7a4c72b96b6a135710c

Observation c37be4a1-05cb-40c7-aa5f-69b34412ccc8 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.670340Z

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=2026-08-06T16:32:02.097972Z digest=sha256:19242a38bc5b4e13ec3d74df1f1d2878581707dedb485e7c6fdccb180c081844

Observation 83b388d1-af41-40ab-b22a-3e90d9601876 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.647395Z

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=2026-08-06T16:32:02.101919Z digest=sha256:6d4fd8aadb6af8da731aa40265f7fc9e47f1d512b6bc50fe147050d1ede1e745

Observation 501463e4-b3ae-4b87-96b0-8b7a508549d6 · outbound

This paper cites Tran and P.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Tran and P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.626536Z

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=2026-08-06T16:32:02.105317Z digest=sha256:770d10ab4b2aa5b5e73d178b777f3b3e12a8fb9ea1edeaacd1a3c7218bfa1505

Observation fec75d6d-811d-4b4a-ab42-8fd4eb23738e · outbound

This paper cites Geiger and T.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Geiger and T

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.605395Z

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=2026-08-06T16:32:02.108644Z digest=sha256:dbaa8f89daa7ae23c73c80d060abc3d21a611ee13ad6c2a746df4ca18fc7ba3b

Observation 2e94fc6e-22a6-41b1-9371-95868c9f49ef · outbound

This paper cites Geiger, T.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Geiger, T

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.583772Z

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=2026-08-06T16:32:02.112138Z digest=sha256:20843abb23a681ad6868c9484caa8cc1524b632d2420b39c6d53f1f34a7d5aab

Observation cf0fa732-4079-42e7-aec4-2a2b25523935 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.115412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.115412Z digest=sha256:8adea244ae810bccf940ce6c8885133d22d1a53e89f117adedf84fffeaf533dd

Observation ead08a52-8bb4-4d79-b025-324c00fd1974 · outbound

This paper cites 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.119248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.119248Z digest=sha256:cdb884519ce81adcda69d5b0fbf76e7698e5f2b3ae50fd57c0851a745a41cc5c

Observation 71d71c85-3162-4b42-8ff8-996c680b3abc · outbound

This paper cites Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.123138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.123138Z digest=sha256:f76b6b4f424d921f1bbe964d29b733e9e701c78401f2480942b369b81dc174cb

Observation ae5edbd0-8a0f-4e4a-84f6-2ca0829630eb · outbound

This paper cites Batatia, S.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Batatia, S

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.561582Z

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=2026-08-06T16:32:02.126717Z digest=sha256:b446695f8ed9553d359ba03db4dc35119c65e34655fabb24f53ee4196bae7090

Observation c3572f6b-f5b4-4f6c-bfab-da13133cf71c · outbound

This paper cites Batzner, A.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Batzner, A

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.130805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.130805Z digest=sha256:f27ff873b424d44707153b4939f904bf9e4a68b12e5db9121445c0c4a7e8cfe9

Observation d8aa2997-f1da-454d-aa0f-4fcbc2f8bf9e · outbound

This paper cites Musaelian, S.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Musaelian, S

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.524779Z

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=2026-08-06T16:32:02.134230Z digest=sha256:00f86e6a3131bfd4e6dc0523d41db49cb77ddeb4141e007c92f3912007661575

Observation ef1b96ca-f8c1-4af7-828f-822cec7a2c52 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.501506Z

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=2026-08-06T16:32:02.137735Z digest=sha256:c86cda55040521d1add0b90a7d5df640f4bf26a440843a70ba30586bead9d8cd

Observation 588424f4-0786-4a03-bc14-570fcc8f2803 · outbound

This paper cites Grunert, M.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Grunert, M

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.491238Z

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=2026-08-06T16:32:02.141842Z digest=sha256:e473ad0eaa8589d7b3f7a86fd77e71cce31db03fd9d538d4a855570c6a125740

Observation 7a2404fd-d905-4abf-b047-6fc7b1da2256 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.479684Z

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=2026-08-06T16:32:02.145284Z digest=sha256:a75747c207922b02057a85a46adb5ba03f52babadeec967889ad886d95b45f20

Observation 9b40c246-a6c0-4f0c-a8a0-31f338538eae · outbound

This paper cites Sbailò, Á.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Sbailò, Á

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.469990Z

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=2026-08-06T16:32:02.148529Z digest=sha256:8bf795fec677150dcb9d2f8e797ed5d5fb36713dd9a3761442e5931999c042f1

Observation f2274fd4-c07b-4db3-bd7a-592e76b7785f · outbound

This paper cites P.Ong, G.Hautier, W.Chen, W.D.Richards, S.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? P.Ong, G.Hautier, W.Chen, W.D.Richards, S

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.459827Z

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=2026-08-06T16:32:02.152204Z digest=sha256:acd845e29479eceb4af0871c46cd6657b904b68f5cf6ac310b608747751d9433

Observation 5e22cea5-dbbd-4680-aee4-1722876aa87d · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.449058Z

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=2026-08-06T16:32:02.155754Z digest=sha256:5afa8438c09df751b2f11cd491a0142323e0b0212189691c8fd2b771446cabe1

Observation ca862cec-9f46-4377-9136-d5648f85e5d4 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.438430Z

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=2026-08-06T16:32:02.159073Z digest=sha256:5ee6e3ff4741f9aa01fb95adcfb97bd3f7c5c94dd241bd1e5799ea7d15b36d57

Observation 5eda4c08-a440-4831-a37d-d117a07baa69 · outbound

This paper cites Hoffmann, J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Hoffmann, J

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.427629Z

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=2026-08-06T16:32:02.162470Z digest=sha256:07c2717e871c6f3db4ba704ed17b6c956389e1ab9673e53af0dfc434b4679489

Observation 584e75d2-12d5-400d-85e4-d385fb99649e · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.415469Z

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=2026-08-06T16:32:02.165692Z digest=sha256:5424edc85065f10013ea17817f21a617865ce5acf5110b55ea36dcef998a370b

Observation ab3f1efb-479a-4390-bb85-fd17ab1ed08f · outbound

This paper cites Mitchell, S.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Mitchell, S

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.403022Z

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=2026-08-06T16:32:02.169214Z digest=sha256:3cbe14cdcb1a4c7673cdee8e5dad36e35133b9e0acf1f4c2d552ac2d8874d2e1

Observation c0969e44-a611-4b06-8b38-c0254ef0e150 · outbound

This paper cites Blank, T.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Blank, T

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.392346Z

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=2026-08-06T16:32:02.172412Z digest=sha256:a6989ebc6cc591a488a13d91511ace9ae5120c23b9ee82e4391458baad622f37

Observation 494dc2e7-5154-41c6-9764-33ed122f4525 · outbound

This paper cites Auto-Encoding Variational Bayes.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Auto-Encoding Variational Bayes

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.176129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.176129Z digest=sha256:e2102ed4e627b6e92e193839eab63fa60a5b57a8c78119c8bf9de4c931bc78e6

Observation aa591d1c-6a37-40d6-8910-a9cf3c3075b4 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.379558Z

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=2026-08-06T16:32:02.179767Z digest=sha256:9dca4eb6ef8b7134c4d10fec620df9dd03fbcba0d37cd304785122c4b4c32c15

Observation 8ca8653f-d54c-411e-8656-93a4db24a640 · outbound

This paper cites an unresolved cited work.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:32:02.366968Z

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=2026-08-06T16:32:02.182970Z digest=sha256:a9881163a046d2d4ea3a2489e8ee51946d7fd5e4f6a78e21d2ad94b9cbcfa1ac

Observation 495d60ef-68de-4fa2-be16-3cb189b4a3eb · outbound

This paper cites Kresse and J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Kresse and J

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.356456Z

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=2026-08-06T16:32:02.186600Z digest=sha256:bd3796bd1bf76fd517d5cce6d769e41c1a9cbb93bcebd43abd68c2ed9ad4912c

Observation 7b67fd73-e912-4d57-bd39-ae9f90d46a13 · outbound

This paper cites Kresse and D.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Kresse and D

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.189922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.189922Z digest=sha256:a9407c6f345ab7e0edbcb98c66d515bc70813fb7dd8ebe9ce8742069e2b2b8bf

Observation 7f6e9a3c-1008-42aa-b577-dca75250bd75 · outbound

This paper cites Kresse and J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Kresse and J

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.336300Z

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=2026-08-06T16:32:02.193427Z digest=sha256:268c993b1558c93f803ec6d700a7059d9880ed3fdcc780538e8c84b713bc545b

Observation 12b5e41a-494c-4489-b18b-f0a8a8d3fc5f · outbound

This paper cites Kresse and J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Kresse and J

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:32:02.324605Z

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=2026-08-06T16:32:02.196836Z digest=sha256:d942ed5cf5c6ff4391bc30daea5eb8c6676866de3726929b942ac0261bfbcaa1

Observation 465f0d84-07b1-449c-916e-965baeda9714 · outbound

This paper cites Kresse and J.

The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics? Kresse and J

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T16:32:02.200543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:32:02.200543Z digest=sha256:d2fe0bf3453cfcd52f2d8a2d006e1c438d12f8bfbe40e02a0107dcca69ab0578

Pith citing papers

Observation a9001b47-5588-4d09-a603-e254d2bdc5d0 · inbound

Learning disentangled latent representations facilitates discovery and design of functional materials cites this paper.

Learning disentangled latent representations facilitates discovery and design of functional materials The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:18:09.802275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6d635463-8141-406f-a86e-ec1554742103 · inbound

Discovery and recovery of crystalline materials with property-conditioned transformers cites this paper.

Discovery and recovery of crystalline materials with property-conditioned transformers The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?

Reference 66

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no resolver link, observed 2026-08-03T20:04:40.489603Z

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Observation fdf4bf03-4bcc-4b38-8134-9545b4d96920 · inbound

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python cites this paper.

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python The carbon cost of materials discovery: Can machine learning really accelerate the discovery of new photovoltaics?

Reference 259

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