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Paper Citation Record · LEDGER

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2604.23344.

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

pith.paper-citation-record.v1
2604.23344 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T08:41:12.351655Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

42 of 42 outbound references displayed

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  • verified fuzzy36
  • unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfd78e11-3a53-4fa2-98a7-09f9185c0208 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection gpt-oss-120b & gpt-oss-20b Model Card

Reference 1

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Observation 6f3a6f45-814e-4fe6-849f-9f89483c5957 · outbound

This paper cites Bridging the gap between object and image-level representations for open-vocabulary detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Bridging the gap between object and image-level representations for open-vocabulary detection

Reference 2

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Observation 9db6f033-ac28-4632-8ede-a143d374c9ae · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 3

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Observation 0e7a7ac7-c238-4855-a2b6-b538b1abb695 · outbound

This paper cites Open vocabulary object detection with pseudo bounding-box labels.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Open vocabulary object detection with pseudo bounding-box labels

Reference 4

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Observation 484442c7-81ee-4ed2-b737-069495747273 · outbound

This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Simple copy-paste is a strong data augmentation method for instance segmentation

Reference 5

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Source-reported events for the cited work

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Observation c5686314-5581-4d71-8347-0e1154b6d018 · outbound

This paper cites The Llama 3 Herd of Models.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection The Llama 3 Herd of Models

Reference 6

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Observation a5fad300-3cf7-4b9e-afd0-c445033a4ca1 · outbound

This paper cites Open- vocabulary object detection via vision and language knowl- edge distillation.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Open- vocabulary object detection via vision and language knowl- edge distillation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 99010a34-b5f6-4cfe-9c96-54b859b52d21 · outbound

This paper cites LVIS: A dataset for large vocabulary instance segmentation.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection LVIS: A dataset for large vocabulary instance segmentation

Reference 8

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Source-reported events for the cited work

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Observation 9db52014-67bf-44b8-a122-97886f743acd · outbound

This paper cites Deep residual learning for image recognition.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Deep residual learning for image recognition

Reference 9

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Observation cc2f0616-a301-4102-9704-d37c1f6ddbca · outbound

This paper cites Mask R-CNN.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Mask R-CNN

Reference 10

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Source-reported events for the cited work

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Observation 324206c5-e70e-4c08-884c-5b9ae75f396c · outbound

This paper cites Open-vocabulary object detection via language hierarchy.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Open-vocabulary object detection via language hierarchy

Reference 11

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Observation de32c587-ae1b-4426-bbc5-1bf04f93b66e · outbound

This paper cites LLMs meet VLMs: Boost open vocabulary object detection with fine-grained descriptors.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection LLMs meet VLMs: Boost open vocabulary object detection with fine-grained descriptors

Reference 12

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Source-reported events for the cited work

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Observation df233286-6750-419a-a132-85f13d80a0b6 · outbound

This paper cites Retrieval-augmented open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Retrieval-augmented open-vocabulary object detection

Reference 13

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Observation 49664c78-1d21-4565-9533-fe22b57a00dc · outbound

This paper cites F-VLM: Open-vocabulary object detection upon frozen vision and language models.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection F-VLM: Open-vocabulary object detection upon frozen vision and language models

Reference 14

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Source-reported events for the cited work

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Observation 0b404baf-4768-42a1-b0b1-5457edea0073 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Align before fuse: Vision and language representation learning with momentum distillation

Reference 15

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Source-reported events for the cited work

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Observation e08ee72f-6b55-45f7-8da3-0d554140ab82 · outbound

This paper cites Distilling detr with visual-linguistic knowledge for open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Distilling detr with visual-linguistic knowledge for open-vocabulary object detection

Reference 16

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Observation 0717cab8-b126-4f35-bff7-84a0eae327fe · outbound

This paper cites CLIFF: Continual latent diffusion for open-vocabulary object detec- tion.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection CLIFF: Continual latent diffusion for open-vocabulary object detec- tion

Reference 17

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Observation 9ae624d2-11d0-43c3-b59b-a55d7b1d8120 · outbound

This paper cites Learning object-language alignments for open-vocabulary object detec- tion.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Learning object-language alignments for open-vocabulary object detec- tion

Reference 18

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Source-reported events for the cited work

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Observation 4299430e-f31c-4be3-ad8e-6cd32b947a83 · outbound

This paper cites Microsoft COCO: Common objects in context.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Microsoft COCO: Common objects in context

Reference 19

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Source-reported events for the cited work

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Observation def3a168-0d7a-4da5-86c2-d2c4ab0ec7d1 · outbound

This paper cites SHiNe: Semantic hierarchy nexus for open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection SHiNe: Semantic hierarchy nexus for open-vocabulary object detection

Reference 20

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Observation 88cc97b4-ccfb-43d4-9e8e-c1563713fe0b · outbound

This paper cites CoDet: Co-occurrence guided region-word alignment for open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection CoDet: Co-occurrence guided region-word alignment for open-vocabulary object detection

Reference 21

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Observation 0e4c1974-0412-4e77-b137-d9b13ad9cd7d · outbound

This paper cites Class-agnostic object detection with multi-modal trans- former.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Class-agnostic object detection with multi-modal trans- former

Reference 22

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Source-reported events for the cited work

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Observation bccd1d2e-ae7b-412c-83f9-dfe442722372 · outbound

This paper cites WordNet: a lexical database for english.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection WordNet: a lexical database for english

Reference 23

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Source-reported events for the cited work

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Observation 7f4f6c54-e089-4130-bbdb-06a64a8c1ce2 · outbound

This paper cites CHiLS: Zero-shot image classification with hierarchical label sets.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection CHiLS: Zero-shot image classification with hierarchical label sets

Reference 24

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Source-reported events for the cited work

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Observation 04765fc6-a1fe-4f1c-bcf3-fa8be8eb322f · outbound

This paper cites Learning transferable visual models from natural language supervision.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Learning transferable visual models from natural language supervision

Reference 25

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Source-reported events for the cited work

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Observation 49ace594-d4ea-46b9-b475-794dd2fe24ef · outbound

This paper cites Faster R-CNN: Towards real-time object detection with region proposal networks.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Faster R-CNN: Towards real-time object detection with region proposal networks

Reference 26

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Source-reported events for the cited work

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Observation 168a9aa4-35f9-4d9a-8f27-1cdbdfd1e994 · outbound

This paper cites ImageNet-21K pretraining for the masses.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection ImageNet-21K pretraining for the masses

Reference 27

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Source-reported events for the cited work

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Observation a4714cef-8912-4715-9cf5-e62da39d18a8 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0af2a0bb-f1cc-4ab7-9b39-fce5a616ce30 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 29

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Observation 113833b2-e6f3-49f8-9e76-e549e380643f · outbound

This paper cites Gemma 3 Technical Report.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Gemma 3 Technical Report

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1fe120a3-47ef-404e-9458-9c70bab4e0c1 · outbound

This paper cites Marvelovd: Marrying object recognition and vision-language models for robust open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Marvelovd: Marrying object recognition and vision-language models for robust open-vocabulary object detection

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b14abb27-d592-4bcc-b240-98253ddbd57d · outbound

This paper cites Object-aware dis- tillation pyramid for open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Object-aware dis- tillation pyramid for open-vocabulary object detection

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8b2962c5-6c31-431a-9e83-1ed59f61dd6a · outbound

This paper cites Self-consistency improves chain of thought reasoning in lan- guage models.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Self-consistency improves chain of thought reasoning in lan- guage models

Reference 33

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verified fuzzy
raw_fallback, observed 2026-05-26T16:47:40.002028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:28276ae09bc6ffa5d22c7ddb0925b8f570ce14ab815bf9e090ffc450d9e93131

Observation fb68c336-623b-4fc5-bd6a-8609a27158f3 · outbound

This paper cites Aligning bag of regions for open- vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Aligning bag of regions for open- vocabulary object detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:39.990102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:2dec7b8eee55f05d392839909156b7106deb7047ef40ac7d35e7a29187a4ece1

Observation 485d1d65-a78f-49e9-ae40-f180d2f7d405 · outbound

This paper cites ClipSelf: Vision trans- former distills itself for open-vocabulary dense prediction.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection ClipSelf: Vision trans- former distills itself for open-vocabulary dense prediction

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:39.994279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:6de40e20e5ac6dad2c695411075fa797194f8887be87bad16ad26204f16f3f54

Observation e6083859-2a32-41da-978d-9378ec7dea9e · outbound

This paper cites Open-vocabulary DETR with conditional matching.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Open-vocabulary DETR with conditional matching

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:39.998378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:c359597824ea3eecf9fb0087ad815377782876d7919426598f82c2422e425f86

Observation ce28ef89-df00-4c47-a996-8bf49b8b12c2 · outbound

This paper cites Exploiting unlabeled data with vision and language models for object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Exploiting unlabeled data with vision and language models for object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:40.009985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:5c16bac4c4095278fe0d39777e9f1fea10c352452d56d21edd48385fef03789e

Observation daa94b4b-50c3-4332-82df-4ab96a35934c · outbound

This paper cites Taming self-training for open-vocabulary object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Taming self-training for open-vocabulary object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:40.021344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:7e43c6e8adb9bd86369efc6445cb33e235e7592e9563baf6cadb587ef3a27554

Observation 64cb222b-1f2f-4703-a5d9-f8e95fe22c80 · outbound

This paper cites RegionCLIP: Region-based language-image pretraining.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection RegionCLIP: Region-based language-image pretraining

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:39.977245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:598c3b0137c80f75884097c4fa2a87fbb36ff792b7a2ed34578fc203d6c52f35

Observation 69955f9a-55e1-47fd-a740-77e0e63ae2d3 · outbound

This paper cites Probabilistic two-stage detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Probabilistic two-stage detection

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:31:13.342042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:26594d287d250f198b216dc8ec45ff28d70bff678d0a130013259be371cc5643

Observation 6824ccf9-2c4e-4c24-8cbf-3f7fe85418a4 · outbound

This paper cites Detecting twenty-thousand classes using image-level supervision.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Detecting twenty-thousand classes using image-level supervision

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:39.981327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:75326cc12a05009c0a441421d91253ff9914f916408effc351fd4b3b6011d36a

Observation 39abd97f-426a-491e-9f85-9c828d383dad · outbound

This paper cites Deformable DETR: Deformable transformers for end-to-end object detection.

Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection Deformable DETR: Deformable transformers for end-to-end object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T16:47:39.933806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T08:41:12.351655Z digest=sha256:4b2e33403c4693fd2efc0407be8208933f1149d12b00078c0e1add420560338f

Pith citing papers

No inbound Pith citation observations are available.