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Paper Citation Record · LEDGER

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 2 inbound Pith citation observations for arXiv:1909.02480.

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

pith.paper-citation-record.v1
1909.02480 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:56:09.195803Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:51:33.510290Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:33:38.549905Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db159509-192b-4dbc-a3b9-57dba8066877 · outbound

This paper cites URL: " 'urlintro :=.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.023222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.023222Z digest=sha256:769782dc2c6a466bb98f16bd4047aca4f7b6ad2cd703889dd2599969301477f4

Observation 718537a8-f422-4cec-a30d-f751bda146a3 · outbound

This paper cites write newline.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.029112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.029112Z digest=sha256:d3fbf9e11a6e4cd1df66599336de9b5ad8e4c879fe997aa6a533c534ca4257f9

Observation cd346a47-8429-453e-9de9-d2c5dbe047b3 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.034592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.034592Z digest=sha256:ffd2d54915971227d0d569879413d8c65d18daf2d999638c165e76c20e04bbfa

Observation 33eb86ae-8265-4d8a-89bf-8b06ad67363b · outbound

This paper cites Generating Sentences from a Continuous Space.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Generating Sentences from a Continuous Space

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.040028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.040028Z digest=sha256:d54c58c4791e120ac9dcde3aca8858ef9177f1c7710b48ef633d384de6478f86

Observation 3f8254bf-4709-453d-b7f4-395ff7198a91 · outbound

This paper cites Importance Weighted Autoencoders.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Importance Weighted Autoencoders

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.045103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.045103Z digest=sha256:286a0c05f0d2b5e9dd8bba42175221931cf5e3fb6bf5c7cc2f958063f9fcd820

Observation d162f5b7-d9c0-482e-96ca-10c2c873b87d · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.724760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.050447Z digest=sha256:37f747861f1d24b93ba4e0983cd0c2b9935edb6342f5f4a0690b83233155afc3

Observation e777815c-c976-4a97-9d2a-87576de53ceb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.055601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.055601Z digest=sha256:778d0c4ddd889244989b98ed3f1745b3b55e856dc26047aa865e382a5568716c

Observation cc56f4ef-bdc6-4bb2-bebd-bad27ff1b79d · outbound

This paper cites Density estimation using Real NVP.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Density estimation using Real NVP

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.060405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.060405Z digest=sha256:73ab0391b81dead41b196d9f2daeff7955d77259f37a3fe01ef8a4d48a166c9d

Observation 42de4602-66ec-474c-a3c4-6520073f8c10 · outbound

This paper cites Mask-Predict: Parallel Decoding of Conditional Masked Language Models.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.065725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.065725Z digest=sha256:7f8115c0924546d6007d986b474593a73fdc3fae15e043500b010e081edb1936

Observation 87aaafd0-90ec-47b1-8f68-ce0ceca57d64 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.711032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.070773Z digest=sha256:ccd07e259da1d394838a4d525cd6b390c495a99ea27764e48be86ce8f94fd445

Observation b0594d58-abfc-48ca-9956-12c84deb8f2d · outbound

This paper cites Insertion-based Decoding with automatically Inferred Generation Order.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Insertion-based Decoding with automatically Inferred Generation Order

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:56:09.341929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.075430Z digest=sha256:5202349433e483b3418a3692a035d2685fd17d4001826d12a3b9dccf170eb46a

Observation 581d38cc-2699-47ec-844a-a6452071cfbc · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.697064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.081830Z digest=sha256:1cc76b462981261e6c1323bc0eed2f43bf8f4a79d79a935d99a5e2107be653b1

Observation 2da109e8-e008-4897-9c37-4f623470b0ca · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.682937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.086372Z digest=sha256:e99f70ee2b73d59d74692ef7bfd67b2bdedb62f5e0d5d8d3059fa8b3d83dc981

Observation 5b8ef698-9e8c-46a5-836c-73c884e2fc7d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Adam: A Method for Stochastic Optimization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.091170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.091170Z digest=sha256:796a3093cc73fe27e3fce9fee45699dca951bfa38f7430c2dfe43c76e11abf01

Observation a962d472-4291-4ff1-9a23-b87f13e7a81d · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.668646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.095620Z digest=sha256:933a0405681156dd69254223b0525bd1b7b1830203fba87d00363eb1dceab87a

Observation d3e22f96-f555-4dcd-9191-4b398abd4971 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.653038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.100315Z digest=sha256:404d5664d8516b9c5e2bf67b3a34afc9e62d5870c335a2179e096ee9e79f5baf

Observation d9c64e82-ab29-4973-88e1-53bbf7543616 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.637287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.104872Z digest=sha256:1054c2522da63cd5185bb99046f0f04fcd2860d672ff8507f3f7509161e58d83

Observation 635d1288-a34a-4cbe-8977-5944c0fcc18a · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.621844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.109424Z digest=sha256:4d6ede7fbc2d3450d0d37920c698422f83b5abb377024086441b9d88f26216c6

Observation 044de790-140c-4906-bff3-baf03b488004 · outbound

This paper cites MaCow: Masked Convolutional Generative Flow.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow MaCow: Masked Convolutional Generative Flow

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:56:09.305447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.114065Z digest=sha256:ca3cb9695593b215e42f8f3dcd6dda70c7dc319ba625a0d2eb092f1a6587db34

Observation 2ecdd6a4-0602-49fd-bd42-c59ad9c9e8bf · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.607248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.119601Z digest=sha256:00ae03dae65e495db8eaa7ff0afc6247dea617ee3e3574203d3cd706da587638

Observation 66ab6028-8da8-4e23-b0e3-6fde58651e9a · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.592856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.124164Z digest=sha256:d554f67770ad4fe418f613c785951288a86d220a47c5d6f9f64d6875f93e570d

Observation f6806bb5-d928-4c3d-9d4d-7dd5fc80fe23 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.128704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.128704Z digest=sha256:ade2b1cb872d333c3a0b04f4e381ef2b003f62bf0ff71a201624478f48d09f07

Observation 062fd227-92e6-4d24-a0b6-b0dcc229bcc8 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.578069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.133484Z digest=sha256:d3792fd700fca764545eda6579e6dc5394e5be7dbd8f67332039d7f857f0c017

Observation 0009a6d6-be92-4d6e-8beb-6c15a634400e · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.137936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.137936Z digest=sha256:8c83691bbf396bd2a2b59a0ffc9b01a738a99bdc62cb8bb7fe762af20a5cd91b

Observation a8dc12e6-9f31-456a-bb89-88d3c417aaec · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.553698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.142192Z digest=sha256:940bdc83a7d4e14ba48afbf09617998515c56dd6caa68da3cf991b0b95fc5578

Observation e9c51355-e69b-43fe-ad21-080db9fec6ef · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.146406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.146406Z digest=sha256:fc7922dcc66a46ab0353fb0db820d19eccca89e8b6966a49d238015b3ebe9d53

Observation 468487bb-fad5-469b-b360-3b71e79e95ad · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.529153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.150997Z digest=sha256:97a8bba0b9f33b41b8b078f6b4b2daa6280e699e76c4921ab9cc0f170e2d9a59

Observation 66d61d7b-190a-4075-971a-5a950dbf43bb · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.513755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.155707Z digest=sha256:e8569f1b674298baccc1f63362a360da2a599fd28a12efae0167abc4cbb1e0e1

Observation 91f272c2-e0db-49bd-b2f1-1a6fc525fba2 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.497722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.160145Z digest=sha256:417972edbad868d2df32a8a864cd4201abb4a31051c0c182515c262bd06f4c00

Observation 767d0239-5b0d-4029-8af3-e17465b919ed · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.482640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.164602Z digest=sha256:a53bd92ff8f1f14014fde5ba2c1159fa77b37384979b40e6507da60ba4e9d67e

Observation 386bd07c-abc1-4641-b14c-2a01f28242ad · outbound

This paper cites Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:56:09.285035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.168996Z digest=sha256:0d5ca38a8938742be345de95eeb4f25fc797b140f29a35bcbeb1db095944bb2d

Observation 06b625b1-fa9b-487d-a8ee-7b5c4d0fb2cf · outbound

This paper cites Insertion Transformer: Flexible Sequence Generation via Insertion Operations.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Insertion Transformer: Flexible Sequence Generation via Insertion Operations

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-14T04:56:09.263684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.173492Z digest=sha256:cdffc43644e53675615fde028d1f7fee0fd081f2f0da53a5831be40dbe2ef3bc

Observation 08d775ce-b184-4fb6-983a-0c7b890d003e · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.177938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.177938Z digest=sha256:a05620b004f4ab6c8db3e89790764804a8e2be9589681ada6560005502c123ad

Observation acab47e7-004e-4426-b729-61143a01c0ef · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.182205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.182205Z digest=sha256:5f7ee96ff5c0b5883821cf382ead3181873244da161bfae86816f74c14ef5111

Observation a07a6eca-ffc2-46f6-8f58-5d9c5072755b · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.448453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.186534Z digest=sha256:fa2dacc3b7e3d4c8ed8ec844e6f8dd6e186b7b35ee797aa46aeff2f93468f0c9

Observation 1ec9db7d-786b-4bbc-98c6-fe220d8d8263 · outbound

This paper cites Non-Autoregressive Machine Translation with Auxiliary Regularization.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Non-Autoregressive Machine Translation with Auxiliary Regularization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T04:56:09.191161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:56:09.191161Z digest=sha256:3445eecebf6c0ae793c7a37f1a71f8d863d7f5befed3b62af9c526bcd0fc9f69

Observation 58c2e150-04b0-41ed-8ea2-25769f92b203 · outbound

This paper cites an unresolved cited work.

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T04:56:09.433585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T04:56:09.195803Z digest=sha256:ebbcedc3976a7e5f42045f932b7b731af2ded534cb40030582c390d2047e7e67

Pith citing papers

Observation 8672715f-a198-4a25-9541-8ae0143a1c61 · inbound

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders cites this paper.

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T21:51:33.510290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:51:33.510290Z digest=sha256:388375572a27a25be269e7120c7da6b623c31283bd30df358c01f4a5ba058933

Observation 327095cf-11d8-467d-ac96-8cc0118edb4e · inbound

LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework cites this paper.

LTM3D: Bridging Token Spaces for Conditional 3D Generation with Auto-Regressive Diffusion Framework FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:33:38.610708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:33:36.378809Z digest=sha256:871ef64291f49c57db12c16619e1a82682626231d1047cfeee4b336e127dff84