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Paper Citation Record · LEDGER

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2508.04208.

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

pith.paper-citation-record.v1
2508.04208 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:51:50.059886Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

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

measured 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

68 of 68 outbound references displayed

  • verified exact7
  • verified fuzzy28
  • unresolved28
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5584dba-d02a-4cfc-9716-4fd7d52d0b67 · outbound

This paper cites In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Reference 1

Resolution
malformed identifier
no resolver link, observed 2026-08-06T00:51:43.032149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:43.032149Z digest=sha256:95cb0b6f5c34a191c4656fe06bec9ff33c2f53f90e4b63710327c0e4abce0ab1

Observation 1596bd46-7019-4916-a19a-961fa39597e6 · outbound

This paper cites Proceedings of the International Conference on Document Analysis and Recognition, ICDAR1, 883–888 (2017).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Proceedings of the International Conference on Document Analysis and Recognition, ICDAR1, 883–888 (2017)

Reference 2

Resolution
verified exact
doi, observed 2026-08-06T00:51:51.399456Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.115443Z digest=sha256:9cdce3813a483f3297b3eceff2c756f315bd8bfb43d62165a698970b8c0285fb

Observation 878c9ea0-cbbb-413d-8d50-10481c17388e · outbound

This paper cites IEEE Secur.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models IEEE Secur

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:59.892596Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.184735Z digest=sha256:30ba42f6a576b1a2af9777ed35b1c2d0ef0de41fb8e64d1d69080d24542f8d7c

Observation 9cd101b0-7613-4976-b8d3-b8a240e774cd · outbound

This paper cites In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:59.740211Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.278088Z digest=sha256:3ba6aff7ec411f3a5a1ad417a1e8542157d38fac4534dd7c92bbcedde1db6a13

Observation 6392886a-5250-42c7-8d8c-00775f67bb33 · outbound

This paper cites In: Proceedings of the 3rd Workshop on Economics and Natural Language Processing, ECONLP.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 3rd Workshop on Economics and Natural Language Processing, ECONLP

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:59.530161Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.372771Z digest=sha256:ccbfcad9c4a0b58863fc6b691e6a63ef36753488dc10c9819bb4f1c1b10e89b4

Observation 1efe0e58-ea6e-4dae-9fc7-53c6cbe41181 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:59.187144Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.542469Z digest=sha256:36dc93f78f44e3adb6660f1e188a9541dae613f8189f05772da9773f0e98ad1a

Observation a98fcdcb-7fed-42c8-871b-e4503a009d4a · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:59.030243Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.651137Z digest=sha256:c82c2880b2a2dc828722bfa12c1c5603e00348d7a4813ba6febb17dce134ec55

Observation dff15603-bd1b-452e-bb71-4b1129a41bd3 · outbound

This paper cites In: 30th USENIX Security Symposium (USENIX Security 21).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: 30th USENIX Security Symposium (USENIX Security 21)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:58.848755Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.728327Z digest=sha256:ed3b007932a2665b1d44fa4523e6d71899305763c86874f8daaf13275c91ef6e

Observation 94e83b29-bc49-42eb-976c-b729a1f60b11 · outbound

This paper cites In: Larochelle, H., Ran- zato, M., Hadsell, R., Balcan, M., Lin, H.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Larochelle, H., Ran- zato, M., Hadsell, R., Balcan, M., Lin, H

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:58.694857Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.796787Z digest=sha256:c7a123dc3fd8c23097b347fa8b9218129051f1feb10d6e80973b720f28107964

Observation 320fcfb2-9886-4ce9-8565-678df6f049ce · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:43.886465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:43.886465Z digest=sha256:cfd9dd7e6c74f9ed9f409bbf20fcc4f9aecb4d52282102e33e5c334217cbbb49

Observation a7c64a76-757e-42f7-9d61-2a2fd75a982d · outbound

This paper cites In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:58.525949Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.956949Z digest=sha256:4e3d817d1e6bb2edd971ebd638148b3335f2e74ada660e426da967aba5723c9e

Observation b484227b-9576-44ac-96ff-f6e2909c0b73 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Diffusion Models Beat GANs on Image Synthesis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:44.027180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:44.027180Z digest=sha256:66599031bbe8883316ff6c8cd2b61fe478829233abea0181e89671fe33b11df8

Observation 46e689ca-6681-474f-80e1-f8d882f63d68 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:58.303269Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:44.096511Z digest=sha256:88aaee419afbbf9e373457d546618ebad13b7ec0e9f9bc3c2b6ccb547448741e

Observation 56f4c349-7bef-4f32-8407-1d4a13c0e1da · outbound

This paper cites In: International Conference on Learning Representations (2021), https://openreview.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Learning Representations (2021), https://openreview

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:44.202159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:44.202159Z digest=sha256:55f18132df6a2c78f805a02f46fc4ccedae3539c235068c44c58c3f6aca7cff9

Observation 49934af0-63ca-4a45-9393-4898a3b450b7 · outbound

This paper cites Foundations and Trends R in Theoretical Computer Science9, 211–407 (2014).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Foundations and Trends R in Theoretical Computer Science9, 211–407 (2014)

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:44.328694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:44.328694Z digest=sha256:8e4b2ff23988aa1d8fe8708f23a9a8cd7bf16d0b97b1113092951d0ef24d7d75

Observation 5644ddf0-0378-4f9d-a46d-552b44fc30d6 · outbound

This paper cites In: Automata, Languages and Programming.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Automata, Languages and Programming

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:44.485215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:44.485215Z digest=sha256:905170d68f03a7522a2f3a147873cb466eb8cc51d3effdee2bd99bafdfc06310

Observation 1c00848e-7827-442e-8545-b497640cae01 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:58.133880Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:44.607176Z digest=sha256:62fb808bf7fa91986918d756aafeb527216228227c07468614feef3841e126c0

Observation 8e7a9545-5525-428a-ad49-f952ec82e6cf · outbound

This paper cites In: Krzhizhanovskaya, V.V., Závodszky, G., Lees, M.H., Dongarra, J.J., Sloot, P.M.A., Brissos, S., Teixeira, J.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Krzhizhanovskaya, V.V., Závodszky, G., Lees, M.H., Dongarra, J.J., Sloot, P.M.A., Brissos, S., Teixeira, J

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:57.934687Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:44.773228Z digest=sha256:d09ccb83c068a26fcf56e28656c1c21a60c1127fb4d0c97f20fdbb113d07cf11

Observation 0cd0cf28-b249-4393-bf63-fb151699f2ab · outbound

This paper cites Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:51:52.356324Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:44.915955Z digest=sha256:6cbdadde354d21836ae8d3d3a2aa3dc87a555ab8028d91cbd8dbe4d5580154ec

Observation 088a3dc9-8f79-4f45-9f19-333e26350873 · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:45.099904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:45.099904Z digest=sha256:64e53be57e953ca5f3c81a3a546a0490a73ef70e12575f211027a96a1f1d8352

Observation ccb58872-9a6e-4e63-a81f-b64db7d6de84 · outbound

This paper cites Differentially Private Diffusion Models Generate Useful Synthetic Images.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Differentially Private Diffusion Models Generate Useful Synthetic Images

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:45.214645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:45.214645Z digest=sha256:5e5d9d942a1c5a02a2dcc9a79d3c8bae820f753d02248ee82ad80e2b06384b06

Observation 6702e226-21f4-4e76-965a-8a0f4778f91b · outbound

This paper cites IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:45.294247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:45.294247Z digest=sha256:953f1ca6a232518cb573b9a5fef03edd036ced30a30ffb942c22e6ab59adcc38

Observation 3a43eedf-f8c1-4c4d-89bd-c8e1fe3e2d72 · outbound

This paper cites In: Barney Smith, E.H., Liwicki, M., Peng, L.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Barney Smith, E.H., Liwicki, M., Peng, L

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:57.722618Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:45.392514Z digest=sha256:daab0159f931db892c6b4b281d565114522070f3402e8bcaad813362583c818b

Observation 1e0d05b1-23a1-4b81-8a44-5281536a79b3 · outbound

This paper cites Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=R6W7zkMz0P.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=R6W7zkMz0P

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:57.496862Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:45.536727Z digest=sha256:222e05385280925baa75b9e5e837a97c533b9e76d23f6de57dc12b7a7759d6e8

Observation c8a561e9-48ae-41e5-abea-1fd756572fc5 · outbound

This paper cites In: International Conference on Document Analysis and Recognition (ICDAR).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Document Analysis and Recognition (ICDAR)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:57.218748Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:45.649895Z digest=sha256:e8d64e6fe1929645fe8152ea28b3337932ade8c7f77d8e4e0f13b5d06307a5a8

Observation 33982f2b-3df3-4500-bd05-3c1b28701f99 · outbound

This paper cites 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:56.982056Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:45.816087Z digest=sha256:b6933dbd0df5e87151fc8d5c0a3337ceb21ea3f8c59043963813cd0ec1cb1c4b

Observation 3c1f70a6-aeb0-4c93-b28c-37c2b2c2199f · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-08-06T00:51:51.209114Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:45.930485Z digest=sha256:b95899a9d930829dec98d28eb9b205fc32c8baffb5a7676c723fd71446eb8df3

Observation 1b3f38e2-3f79-4139-9498-c6ef2390bc86 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Denoising Diffusion Probabilistic Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:46.009843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:46.009843Z digest=sha256:5962d1add9a36d50b3b4e6542213793634b0dce70d52ac874373ad03828f436b

Observation 70852cec-18b9-458c-93b4-fd9875f891f8 · outbound

This paper cites Classifier-Free Diffusion Guidance.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Classifier-Free Diffusion Guidance

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:46.121165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:46.121165Z digest=sha256:87122aaca3f482228c72e2183c275d68495270d85998a13165cd3f56b2b60fb9

Observation 19108f97-9e64-4274-9818-c975a22b849a · outbound

This paper cites In: Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T00:51:50.982462Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:46.216510Z digest=sha256:aa8c69e640b70434c5ec7c2e1f792d659ed34f9dc11ee227e75c7eef3be2bc45

Observation a482079f-117b-4eea-85d5-1dc86c130df2 · outbound

This paper cites Differentially Private Natural Language Models: Recent Advances and Future Directions.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Differentially Private Natural Language Models: Recent Advances and Future Directions

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:51:52.090559Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:46.333986Z digest=sha256:bffcf4b37fe240b0fffd44c804e76c7359694eb080bd4d90ceb13626169a1822

Observation 8e7fe466-5e92-4a4e-8059-34af620b90bc · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 30th ACM International Conference on Multimedia

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:46.415723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:46.415723Z digest=sha256:6d85f4aabcc32812dd8775bbad725ae0fb5ec094e0d4cc32025060eb51ba347a

Observation 57c7b4ad-18f9-4b3b-bdb2-3fe3f388e0d5 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=JmC_Tld3v-f.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=JmC_Tld3v-f

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:56.777397Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:46.508923Z digest=sha256:455272646e9c0ad30fdec920e1f53604dc83d33f3bb6ce90832165a076522c7e

Observation f2896d84-53b5-444f-b0a9-91bb6f73b80f · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:56.554427Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:46.623253Z digest=sha256:276ef39eb66e690b34e49357cbfa5e8f5fe0c3f974a4c8e93c7b4358faa07ec6

Observation a46b212b-05cb-452f-acb5-d663cf2a429a · outbound

This paper cites In: Proceedings of the Annual Meeting of the Association for Computational Linguistics.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the Annual Meeting of the Association for Computational Linguistics

Reference 35

Resolution
verified exact
doi, observed 2026-08-06T00:51:50.787714Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:46.719780Z digest=sha256:55897f990e79439b76018cb56270950ac52b8b0a16816c6735ff6fc79ff94997

Observation 2102f14f-2367-4153-bada-44534e3d98a7 · outbound

This paper cites In: Proceedings of the 30th ACM International Conference on Multimedia.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 30th ACM International Conference on Multimedia

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:46.836759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:46.836759Z digest=sha256:974c1ad2d675111671c7a10c7f3c4f83c640af7962c8a27686af7a4a004775c2

Observation 4ce1dc66-9a61-4887-9a39-678db2583042 · outbound

This paper cites In: International Conference on Learning Represen- tations (2022), https://openreview.net/forum?id=bVuP3ltATMz.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Learning Represen- tations (2022), https://openreview.net/forum?id=bVuP3ltATMz

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:56.375689Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:46.931872Z digest=sha256:251bafa1bd9b852aa784563b018060484202957c90ea90808984d8e7806cc711

Observation 2a4b5c3b-d278-4536-8786-9925dfc0323a · outbound

This paper cites In: International Confer- ence on Learning Representations (2022), https://openreview.net/forum?id= M6M8BEmd6dq.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Confer- ence on Learning Representations (2022), https://openreview.net/forum?id= M6M8BEmd6dq

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:56.210306Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.045186Z digest=sha256:c61f3defd749b7fd841f80b8902feabd18385dde0e386bd8e15b4cdc59449254

Observation 699b9fd5-3f6b-47eb-8c54-9fc939939fe1 · outbound

This paper cites Transactions on Machine Learning Research (2024), https://openreview.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Transactions on Machine Learning Research (2024), https://openreview

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:56.038287Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.138248Z digest=sha256:af086577e29fb6e935822451c4c467ba5aafdcb68ef356698a1b19835d62b2a6

Observation c90b5411-6fbf-4833-9ed1-8f57ba5bb977 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=2kGKsyhtvh.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=2kGKsyhtvh

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:55.882217Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.295585Z digest=sha256:4e6152c235cc3550e1b079d477e6f0f2fd0df508e7a5683e64ed35ba5df93274

Observation 410e9e7d-2839-43e7-b9da-7954be05cfee · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:47.376265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:47.376265Z digest=sha256:d76d5d873505d21e2a73eb5bc456bcb8d1ab3a5c6c37ab8d198238dc981ebb47

Observation ecf92608-e951-4a8a-a635-543d6a7d013d · outbound

This paper cites In: International Conference on Learning Representa- tions (2017) DP-DocLDM: Differentially Private Document Image Generation 19.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: International Conference on Learning Representa- tions (2017) DP-DocLDM: Differentially Private Document Image Generation 19

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:55.709657Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.476404Z digest=sha256:add9aff0d49764f7a214774ac15bee7204de652bf814354cf6e9b779bf3a1f2f

Observation 3997bf5f-3582-44ab-a4aa-2faba16e1d62 · outbound

This paper cites IEEE Transactions on Industrial Informatics (2021).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models IEEE Transactions on Industrial Informatics (2021)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:55.550106Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.556694Z digest=sha256:cc04336a2c6b57e5894fb41ccda4b2e20b7c65fe186e26fb9f8fb389398d44e3

Observation cb2acb74-9194-4c98-81ae-06df90ff7254 · outbound

This paper cites In: 2017 IEEE 30th Computer Security Foundations Symposium (CSF).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: 2017 IEEE 30th Computer Security Foundations Symposium (CSF)

Reference 44

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:51:55.408017Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.654536Z digest=sha256:8cad61e28ca74870e334d9fa9077baae09ea1da4cd01b43ab4c8ef46ee1784b0

Observation 7866bdd8-6865-4159-b2f4-6dfdb6a16c94 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:55.192656Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.765282Z digest=sha256:272d14e2bde9fddd59a56eee08504b30fb7ae5555f749f1255bd01116a590741

Observation f5d9d5dd-1413-44cc-9a91-37229e45202b · outbound

This paper cites In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:55.046769Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.848285Z digest=sha256:f50d19b99ff1bd138c9b1722d218a6748f14a3500e2f3a27a1a91f5c57bc869b

Observation 5bc4aa9d-83be-4461-9b4e-e2afbdc83146 · outbound

This paper cites In: Lladós, J., Lopresti, D., Uchida, S.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Lladós, J., Lopresti, D., Uchida, S

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:54.883780Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:47.922764Z digest=sha256:4beccdaaf4f6273abc34fdb53da8668116cf3d5268a65dabf03af4bfaca879f9

Observation 3853acc6-bf98-421c-878e-c0ef6838dbc8 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:48.057035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:48.057035Z digest=sha256:e6729370c4bbe5bcae9a98965b3bff2c8e50e68f0e93a83b23f288c3fea59794

Observation e591673d-7bb9-48d6-bf1c-7a9338282113 · outbound

This paper cites CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:48.178663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:48.178663Z digest=sha256:69d010e29cd861a6f07e674d250c546509cabfdbddbb869c5ddc1f0cda813c12

Observation 35b22f14-63f0-41ee-900c-2a14eb3e0070 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 50

Resolution
verified exact
doi, observed 2026-08-06T00:51:50.575411Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:48.338370Z digest=sha256:59d2d9b7828aa239340f01906f2902011d69e2f962198bc09280faafcf0e0366

Observation 25782930-f607-4fea-9d7b-86767346c1b4 · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:54.673792Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:48.455397Z digest=sha256:631dcd43f5be038b5e6d79788e99d6b08673e566bd2054214ac9d913953514c2

Observation 09ca7f4f-51e2-48ff-a9d8-8cce31ad5fca · outbound

This paper cites International Journal on Document Analysis and Recognition (IJDAR) 27(3), 475–499 (jun 2024), http://dx.doi.org/10.1007/s10032-024-00469-8.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models International Journal on Document Analysis and Recognition (IJDAR) 27(3), 475–499 (jun 2024), http://dx.doi.org/10.1007/s10032-024-00469-8

Reference 52

Resolution
verified exact
doi, observed 2026-08-06T00:51:50.326542Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:48.530883Z digest=sha256:dd7988a6b28d920e70e0c5ac845c4f9857e7aea3325f53dab861f5915b53ad56

Observation a63056ad-b6d6-4bb4-8761-3e572351cd4c · outbound

This paper cites In: Lladós, J., Lopresti, D., Uchida, S.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Lladós, J., Lopresti, D., Uchida, S

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:54.405329Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:48.599066Z digest=sha256:83730e918556d0e333efce5de7cd24cc144bceae4ad659feaa3d8b465a05e0a9

Observation 7740b9a0-42af-4c38-8970-302ca2ac80f8 · outbound

This paper cites In: Proc.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proc

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:48.709631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:48.709631Z digest=sha256:7548a6107fa47ef8e64adc34b32edb90bff82b74ee94d21fbe33fbe0befd1d20

Observation 83f454c1-dbd6-4d64-b0fd-27ff1395acd0 · outbound

This paper cites In: ICDAR ’07: Proceedings of the Ninth International Conference on Document Analysis and Recognition.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: ICDAR ’07: Proceedings of the Ninth International Conference on Document Analysis and Recognition

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:54.122884Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:48.798507Z digest=sha256:881266b0db893bc3aa5c37dad2d8734a1a648b126effc0c375b380e6a6916ea0

Observation 153d7226-e431-48d4-84e1-dfe6448698ee · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:53.885731Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:48.888118Z digest=sha256:4f85cd55ecc05be9fa329d4eac9cf7b4d245da8c0f3ddd44e6fff01ad499ae61

Observation 6ec32146-2349-4738-89a7-23c16f5ab5c3 · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:48.993209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:48.993209Z digest=sha256:ea6b99eb3e5939604d0e7492cbbfa74854333f634587210e5c08d5e5d4b96d02

Observation 1b2735b3-b69a-4a2a-8a62-45f76f7c9c9c · outbound

This paper cites In: Document Analysis and Recognition - ICDAR 2023: 17th Interna- tional Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Document Analysis and Recognition - ICDAR 2023: 17th Interna- tional Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III

Reference 58

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T00:51:53.628526Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.091144Z digest=sha256:b4a83ba45ac05822bbe25000f41a93abf1e147c64c14de9faf5d466cbfc095a3

Observation 92c393e6-19e6-4316-823e-52addfbf4bd1 · outbound

This paper cites In: Bar- ney Smith, E.H., Liwicki, M., Peng, L.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Bar- ney Smith, E.H., Liwicki, M., Peng, L

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:53.396335Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.224768Z digest=sha256:e95ab7e6140ccd8753581d0be2e8aef32a786c08e6cbe1d4d8742a8f58a07616

Observation 6ccf0682-a2a9-430d-be6a-82a0f16cd6fa · outbound

This paper cites In: Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition Workshops.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition Workshops

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:53.085198Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.322529Z digest=sha256:cbefec1c0a6771294cb27d90ee7398358287fe46d1312272afa9e709c681ef3b

Observation ebe56f53-244e-4974-81fe-216f182fc89d · outbound

This paper cites Differentially Private Fine-Tuning of Diffusion Models.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Differentially Private Fine-Tuning of Diffusion Models

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T00:51:51.631298Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.417747Z digest=sha256:c41cee98f09aec28bdd9202d695abdab402a10af24af50a895c72ab06fa80762

Observation 1c81b5b1-0b9c-4684-8c53-8d11c5996f0a · outbound

This paper cites In: USENIX Se- curity Symposium (2024), https://www.usenix.org/conference/usenixsecurity24/ presentation/wang-haichen.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: USENIX Se- curity Symposium (2024), https://www.usenix.org/conference/usenixsecurity24/ presentation/wang-haichen

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:52.918099Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.505626Z digest=sha256:5a1a1b980da8697447f0a00d558e421810e4555fec175e8acb3a38b291708677

Observation ed6891f8-5e05-4b24-b659-34822c4aff0e · outbound

This paper cites Applied Sciences (Switzerland) 12(21) (mar 2022), http://arxiv.org/abs/2103.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Applied Sciences (Switzerland) 12(21) (mar 2022), http://arxiv.org/abs/2103

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:52.760493Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.608195Z digest=sha256:0ecedd41cd76ac145f04a153f5e264b3aacddebe6f9de11fc1c62554dd220ad0

Observation 88517da9-73ba-4035-9fce-0347f0b12680 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:51:52.586498Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:49.721676Z digest=sha256:5b76a9ef708dcc9375db6d311e069b30a0eaeda1a52463a786969ad762ff82fa

Observation f426121c-df0f-4739-931c-1d5956649059 · outbound

This paper cites CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:49.849008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:49.849008Z digest=sha256:3645b84ea7cb52a48666eab7abccfd1e01b803cc780aa5f3776b09438b1c7079

Observation abb813dc-cdc6-4476-bc3a-8da3c62cc05e · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models mixup: Beyond Empirical Risk Minimization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:49.954587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:49.954587Z digest=sha256:54843afd466eb368fdf9d903ee843d6b5001fc7b0e285d43b82b65722da3fd63

Observation c2e24257-63b4-4a8e-b210-70b47b78b31d · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T00:51:50.059886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:51:50.059886Z digest=sha256:9c963126e1f14ca4a787c27937acfed8773874b0d441bf72d7b72eaba71eadbc

Observation cd57a4cd-059e-49fe-b8b0-2ea36f65f1fb · outbound

This paper cites an unresolved cited work.

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:51:59.342131Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T00:51:43.465047Z digest=sha256:5ed1f3335adbaf92e78e91d3f8bebc42380cf9fa4da13026e622289a54a28302

Pith citing papers

No inbound Pith citation observations are available.