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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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:a2a971374af1bfff8322c8d5af1dbf7a61490cf0b084138c23ec1e7a3a28b434

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.115443Z digest=sha256:54f8cea59a36158e53b4ad932889166097e2fd276abe8ed57b7f431847251f08

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.184735Z digest=sha256:33be505422d06d9e903cdef578dd5af67143b4fe0f1e31d8a3e440eac92f6515

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.278088Z digest=sha256:2eaba326978a85ad415bb6b962f294fc5b48b8a11b246d49f4adceb4b2d8deac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.372771Z digest=sha256:3910114728f4d2814c6444cf4ddc3e1fb87dd6272053bd119482e73a4c70c445

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.542469Z digest=sha256:0c106a18a1ae8b45eaa611369f727778610b03609300035157a1bc5a636c6898

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.651137Z digest=sha256:9323c2c13d7bf93b4892b6c36dac267679ba5120b2ac706571a34a81232e2e6c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.728327Z digest=sha256:217235a72f41bbfef96b1430510098393b052b2724f5fe7b69245d1fd6603615

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.796787Z digest=sha256:8788cce41434dae068bf079ef790bfef6e7dd06521916774a33999f5fef9e9bc

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:d152700ffd9257648935f959bba7cea471389ee3991c9b037cb38da2870ec174

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.956949Z digest=sha256:83595769b9f4befb1c3766bd9c8ed8ae409c617e18e486485b0da3c352a4fc73

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=sha256:69fbecd59a3e2514472678146531b00e92b78ebd7cb9a024ea64c9118add436b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:44.096511Z digest=sha256:8aa4b44fb7e5091f7281a649bb42d573dabfb2be4f47d3747623c8991fbe91eb

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=sha256:78b03c7abceedefb6c67c07a3475e65298b3c936b8b3dbd1ea074e9389506dd4

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=sha256:7a55c86efa0a381f1a96e5950073005d9c134d3e60b42ded9f80ec670bb56a4e

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:a2e41becef5c626fdbf0edfbcc208aeedc7364319bae14b5b1829570235bc211

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:44.607176Z digest=sha256:f512217fd86b003e237e7c9ad96d93cd07e7b80e4e72f1240aa32b78267ce0e9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:44.773228Z digest=sha256:29fc25b737fe633c8baacac9f16a5846eafa59f7d301190a64665b3a4bc135fd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:44.915955Z digest=sha256:fff409f0ce3ce493a938758c198f0f6a06e5c8b36e2a1c73bd205ab90210217c

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=sha256:00092261325898c8cffa10c13314096ebeacdcb38a60ef3d1577061ad9b3a7a7

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:b0831cdc5d06373b32eb3c7dc0c0e7237f5501f29eaee9cf52073681cb19f772

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:bbd0542bd914303bf7a11edec39cb6c06fbead73956e0e79813548ef44d55162

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:45.392514Z digest=sha256:2dffbe80a7d3edc818a823c2139d86ade5a2b177831cf0b830812cdf8407838b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:45.536727Z digest=sha256:ca9345df78ce8ca041182069add223a777ad39ce322625ee3c2a942aab301bf0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:45.649895Z digest=sha256:30fbd282f99671d85788ce6b6b3fb28ff5518d617e9996081ccb9b07b9e40127

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:45.816087Z digest=sha256:2014c1b5f1ea8d94854d3e7b19b1e6334ac23b5aeb4b117004ac5a2602dd4975

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:45.930485Z digest=sha256:632e6664be09245dc02110053e23b649ecbecb20aba03937a22029647b77a04b

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:f7cc430e6df0ad4ecd4486c49b7500f17d4f8c57a41b0f146131284fb8a638b4

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=sha256:1b171fe56d196043e94de90c56b1be4a80c6efb2bc0e99761e52be48b8bac440

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:46.216510Z digest=sha256:cade4b719796dc9aae2ac13be2cdbc8877e7a07bb44a99609490b6d5d86d1690

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:46.333986Z digest=sha256:5ba2f56abae72962443384a21565a7d7e30092b71033b0c82c8c7d1ce5935359

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=sha256:15bfa9a0c30c861deee201fe2f23cbd8733984dd2273e6bd7fe236e23f4be5b5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:46.508923Z digest=sha256:31028b43c2c3084bf4aba30335e4baf4880716791bbfccc9104a33388a8dac0d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:46.623253Z digest=sha256:33b91755af4665286162cfbd117c6574b7ef44a5059f644ec9f564d2efc4329f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:46.719780Z digest=sha256:e992b508cb82e503e0801423504ced27bd438a99a3b727ec2dc1037a8d53135b

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=sha256:3512e928a7bbffa980ee2b49a96d64f5d406ff477e043fd60db4dd9cc9dbbd2b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:46.931872Z digest=sha256:d9e83b328f896e05da3a4612207b5c6d530155ca9131459b5ade00e03ce8fa4f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.045186Z digest=sha256:a720fa3ab7d1d3ec468739e2c519d65e26aabc9114107eaf41d7f5addb33e5bb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.138248Z digest=sha256:b0f0061dd72f807c438818117e8d46e022306780cdf7c77661b4fa67db7ba994

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.295585Z digest=sha256:8a942e95913fe0fc671345a56c904f12741d532fe4b4fadbf07ecbf6e23b30c5

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=sha256:376b33fc03a2cac70f158c8f58c85b537a151c4dbe588458ac56eae9542dac2f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.476404Z digest=sha256:c6aaa8cfd87a66fbbb7c37f868ef52f25a7a97ecd67a4e080c889d5eed5984d0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.556694Z digest=sha256:2b7a4999dc871ac41b560d15e242dfab38ef4bb1559883818e086f4a8ab0477a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.654536Z digest=sha256:d585fa9b42149be597723e406208568bf5706383b470dc10841c0f39320773df

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.765282Z digest=sha256:3d98657ecf6c0320d330ec9b5104771f31e19a6b49f5e8d3406a739c2a438fa1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.848285Z digest=sha256:9cd4912e31af15a60a89f0c8f0c5361f7e43d178384e820c0547addc7c78c087

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:47.922764Z digest=sha256:18c8fa74e5dc1e3d08baef572eb2ef1be55c6160993b6dbb0aff0c31b67213c9

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:b8c2f1d37f3bb980fe8cd8ea579a4333b202404148fad77dbf3c937699c7af75

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=sha256:9fe52a617068213b89c5a37544f6b4d1f4f7ffadf73e561cdf087ca9b429bcd2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:48.338370Z digest=sha256:4f70c23dd47596ed6f52b8e044b956cf312e93e6a4c9435c580af0716f933a71

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:48.455397Z digest=sha256:dfba58dec4337fc06304f52c90a315fdbfaf76ff7a7ce075a3cedb06cb0fddd5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:48.530883Z digest=sha256:e55cec706113e95ca07ed8873b3618354b8748db4e488bc7e1a1d5f04e103754

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:48.599066Z digest=sha256:2a83a6db65fcecd95287194172bf6befa1307d5e671839bf8e13af9074cc5e12

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=sha256:05080d5fa41bfd08e0f503318d9fa9344f7204dc21591571d8e83028d8aad2d0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:48.798507Z digest=sha256:d41af4726ab5a024760af92d94fc815eefc6d65dafcd83ab4e6685713eae47f8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:48.888118Z digest=sha256:36fc74e352dd73bba38d45e1034a691e95ce03344eb13bab715c39c4a83c9669

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=sha256:5ebadc93c94cada9163b96ee50ff1335f1c4069699b46e5ffde4633316a6dbf9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.091144Z digest=sha256:775c8a48d58aeb66cf80bde0b989a26a6653a7fabf0886fd5862b7351daa8a98

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.224768Z digest=sha256:5d072bf175ef5ff320efffd118c4df1d0a99cb0bfd729c0be5ba0cdb92e4a41c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.322529Z digest=sha256:693b73f3d22539d1188a2f9f83a706c77c558f01861495fc34b10b7b700d3e3d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.417747Z digest=sha256:b43766ff3c72ec293f0968d4c35f2b200daf53b3dd31f360e1ff1253c681a00f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.505626Z digest=sha256:8289b90c9226d9af41afd417980d43beb5ce39f73dfd78e441209303c0432853

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.608195Z digest=sha256:9ae0ae6c2a4c967ad1624b8bd0f5b1e7e1151c73653dd2ea87baee83f49d5e40

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:49.721676Z digest=sha256:ada40a377e6fdbcdb8b64daf06bd3b47b4467c094e9daba5b03ba7e39b864e28

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:dfdfc82d7f82c0b6c7899c73d3bd33b71213c200e630c5f13bdcc13a2dee0e07

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=sha256:5db1e7d94d71f1da2f8245b02cc129af5321ec531891b23018103f9c148b87e5

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=sha256:52060d561a62eb46cd484916cb54e84e3a2f43d633de516af6ca20f4db7c6e8b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T00:51:43.465047Z digest=sha256:b83ab0e968dc56dec056bc018640ae4c8fd581a2b6c9f734a5cb63742996b695

Pith citing papers

No inbound Pith citation observations are available.