Pith. sign in

Paper Citation Record · LEDGER

Continual Learning of Personalized Generative Face Models with Experience Replay

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.02627.

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

pith.paper-citation-record.v1
2412.02627 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:19:08.572959Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

50 of 50 outbound references displayed

  • verified exact2
  • verified fuzzy30
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71a6d772-a7a9-41ee-92e5-6682545a9c75 · outbound

This paper cites A decoupled 3d fa- cial shape model by adversarial training.

Continual Learning of Personalized Generative Face Models with Experience Replay A decoupled 3d fa- cial shape model by adversarial training

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.390764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.320204Z digest=sha256:6e509d8b1b09f57fde04e4bfd04308185ede6cc67401b0f57b08d192df0f10e5

Observation d9eb70fe-34ec-461e-8b97-f248a914eeee · outbound

This paper cites Few-shot generative modelling with generative matching networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Few-shot generative modelling with generative matching networks

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.371122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.327183Z digest=sha256:d9274df486f47204c47893676cf0bc384c7cb1216e9680c211544ada9607b481

Observation 6b22f414-5cf3-4f32-89ce-5c3fa7103899 · outbound

This paper cites Triplanenet: An encoder for eg3d inversion.

Continual Learning of Personalized Generative Face Models with Experience Replay Triplanenet: An encoder for eg3d inversion

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.356286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.332044Z digest=sha256:46223227e2781eb29405e4b6d0d02b4521d32f050f5626c1af91a5d2a363adc2

Observation a13669ad-e7dd-4078-bfc8-21b8b0ecb625 · outbound

This paper cites Coresets via bilevel optimization for continual learning and stream- ing.

Continual Learning of Personalized Generative Face Models with Experience Replay Coresets via bilevel optimization for continual learning and stream- ing

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.342132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.338399Z digest=sha256:f6cde3e1be2aee91c909bc6147b6759c17423bcda24b61cae7817736d9f2db96

Observation 1dd35940-b30a-4970-a5e6-be44bc9f7bad · outbound

This paper cites Rethinking experience replay: a bag of tricks for continual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Rethinking experience replay: a bag of tricks for continual learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.326716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.343497Z digest=sha256:e605e07dff93e2613320d2375317ae3164c1ab04e106ab42d3ff01ce4a66affb

Observation eedcbc3c-01d8-48c1-b999-c09754197f15 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Efficient geometry-aware 3d generative adversarial networks

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.310688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.348301Z digest=sha256:b53bdbfed5444d51888e5eabe97e8e6d129a51f839ff529bcb98ab44f9ae1bc2

Observation d4e5e885-91ad-4ee8-b76a-a4671af0f1ad · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Continual Learning of Personalized Generative Face Models with Experience Replay On Tiny Episodic Memories in Continual Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.353496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.353496Z digest=sha256:d8015a21ba681e5623b52db208a35377579929636e7b52338eb73da1d51f824f

Observation 22f64c2e-2eb1-4fa9-a438-5f6eb2b6dde0 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Continual Learning of Personalized Generative Face Models with Experience Replay Diffusion models beat gans on image synthesis

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.359685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.359685Z digest=sha256:eda57b3918a7e36c83123423fc8367a8b7c6540b48c604b51f31c6de91e3ee78

Observation 67f8fd66-3db3-4d30-956b-86ab6f009f9d · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.

Continual Learning of Personalized Generative Face Models with Experience Replay Image quality assessment: Unifying structure and texture similarity

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.364350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.364350Z digest=sha256:dbd51b47d883382903782fc6313efe3902211165b62c1c3db85bd228c373403b

Observation ae288801-82e4-4c7e-af15-fae94d152a28 · outbound

This paper cites Catastrophic forgetting in connectionist networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Catastrophic forgetting in connectionist networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.368966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.368966Z digest=sha256:0b7e950f1a094b76d7b6edfc23db4377495b682e9010b49108e3ec549e9c3852

Observation ac849f88-fbdc-49d1-aea1-7547778fc1d9 · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Continual Learning of Personalized Generative Face Models with Experience Replay An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.373875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.373875Z digest=sha256:4bde732a470870b0c7fcf88ec978a13bc2041005b9511723f47b4aa5f8164036

Observation 301491c1-5bdc-446b-b6ef-c0a0e30b6b03 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Continual Learning of Personalized Generative Face Models with Experience Replay Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.379715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.379715Z digest=sha256:634a3e82dd821fa5ec295b796aa89d9e68d94cefbbc272566487632b577353da

Observation a7d9c817-c7b4-4fda-a9d8-39ec941139f3 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Continual Learning of Personalized Generative Face Models with Experience Replay Denoising dif- fusion probabilistic models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.384944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.384944Z digest=sha256:fef3b8e759dedaaee586c93321b1aef166f66ee19b6fc2f409dd7491a16114af

Observation d163669e-b0ad-404c-b323-77eddad56e55 · outbound

This paper cites On the "steerability" of generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay On the "steerability" of generative adversarial networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.389839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.389839Z digest=sha256:851b4143f27f8b92002440ae1bed977369f2dd55c42640dc7dfcf3977f7a0c7d

Observation 5b1d3562-6bb7-4b71-8b90-5e39bba5ba28 · outbound

This paper cites Gradient- based editing of memory examples for online task-free con- tinual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Gradient- based editing of memory examples for online task-free con- tinual learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.237475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.395051Z digest=sha256:fa8b6c464c1386aabf10f85fe24e99f92d91fb84d3320e997f7f2e3cdfb408ba

Observation 0efa4b86-6deb-4bc2-8642-6f070d594cdb · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Continual Learning of Personalized Generative Face Models with Experience Replay Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.400410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.400410Z digest=sha256:3ca9971426a677422d79c40cf6e7967cb286a3c70ea7844ba51d361423e9a9d9

Observation e40c87c2-ad0a-4993-bebe-fe78965e42df · outbound

This paper cites Training generative adver- sarial networks with limited data.

Continual Learning of Personalized Generative Face Models with Experience Replay Training generative adver- sarial networks with limited data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.406117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.406117Z digest=sha256:8c852aaeaf338adaece31bd46f25ed87b74a27b298113dcfb60cceeff89134ca

Observation 8a05528d-d4a8-42c6-b5ef-fe4cf40e3b03 · outbound

This paper cites Alias-free generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Alias-free generative adversarial networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.214040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.411023Z digest=sha256:2366c5d4e5faf3e7609c3ac87a30698ea112531d6c483e1888daf7e255ea14fb

Observation 2c4bb8b0-6326-4177-bb57-026d3098eb0c · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Continual Learning of Personalized Generative Face Models with Experience Replay A style-based generator architecture for generative adversarial networks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.198596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.415271Z digest=sha256:31c19325f5ebd82fac88192e9cbc6b86b40ab0d344d39580515bfa82d436c901

Observation 273cc2e5-8ae4-4c71-a89a-cb46ab419e5b · outbound

This paper cites Analyzing and improv- ing the image quality of stylegan.

Continual Learning of Personalized Generative Face Models with Experience Replay Analyzing and improv- ing the image quality of stylegan

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.181558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.422807Z digest=sha256:3556ff3cc4f15f14f38c8498cbc2707af7209fdff0e6492cd7e9d108b09cd9ca

Observation 9d929522-3b7f-497f-b580-e6714a320cad · outbound

This paper cites One millisecond face alignment with an ensemble of regression trees.

Continual Learning of Personalized Generative Face Models with Experience Replay One millisecond face alignment with an ensemble of regression trees

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.162951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.428689Z digest=sha256:5d808c30da718f441ae0e45385b77527631b3bc9bac045b052ed48d266fe88ac

Observation d2921293-844e-4c82-ae90-dcacb0342f77 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Continual Learning of Personalized Generative Face Models with Experience Replay Overcoming catastrophic forgetting in neu- ral networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.434852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.434852Z digest=sha256:331b9fbfd29d7c9863af4b0521da1f685b6b63711932da317c950ddbd03b1268

Observation 2c911225-406a-470c-a7f8-52eb2084c4f0 · outbound

This paper cites Gradient episodic memory for continual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Gradient episodic memory for continual learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.135225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.440450Z digest=sha256:d94eaf9a358c17777ebd5758cc83f9eecc00f00e617737e2d11823f403baab32

Observation 3dc74eae-41b5-49a5-aa3a-0d36e35fd63f · outbound

This paper cites Time-travel rephotography.

Continual Learning of Personalized Generative Face Models with Experience Replay Time-travel rephotography

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.115856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.446780Z digest=sha256:a8df1c1a8ce71c2840688df8dc8d2313cae9984a6d1b65d75822ab0fa3538878

Observation 3e7cf4d8-06be-4816-9eec-6441b54dc832 · outbound

This paper cites Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models.

Continual Learning of Personalized Generative Face Models with Experience Replay Pulse: Self-supervised photo upsam- pling via latent space exploration of generative models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.093592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.452012Z digest=sha256:0d2a9b4e5627ad27d0d0464e1c098424538c2a5270162680274f05091adfd7a4

Observation 52b2ef99-7eab-437a-96ce-543a20a1e093 · outbound

This paper cites Hologan: Unsupervised learning of 3d representations from natural images.

Continual Learning of Personalized Generative Face Models with Experience Replay Hologan: Unsupervised learning of 3d representations from natural images

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.074478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.456739Z digest=sha256:07f7f5f127144b8150a3b51f0ba9db293e35c4125ef9f277e2378ea6ab4d43be

Observation 8e92d74b-e39c-4395-a2e6-8c1c6805e3fb · outbound

This paper cites Giraffe: Represent- ing scenes as compositional generative neural feature fields.

Continual Learning of Personalized Generative Face Models with Experience Replay Giraffe: Represent- ing scenes as compositional generative neural feature fields

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.057332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.462651Z digest=sha256:97de5e3f6eedc305b926ea43aecc0a4bd32fdbe610a1157c69db292405649200

Observation 17e47228-d7d9-4d07-8654-df3d08787a66 · outbound

This paper cites Mystyle: A personalized generative prior.

Continual Learning of Personalized Generative Face Models with Experience Replay Mystyle: A personalized generative prior

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.042549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.467219Z digest=sha256:947d460a7bef0b1683d50d88aad8979ed8aff53df58047c9485b067196871099

Observation d84ec377-807b-4217-961b-30be906eb4f7 · outbound

This paper cites Face Identity Disentanglement via Latent Space Mapping.

Continual Learning of Personalized Generative Face Models with Experience Replay Face Identity Disentanglement via Latent Space Mapping

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:19:08.668233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.471808Z digest=sha256:6302422109e866cdd2e43001bf0d01359c31f5d7841c9b6c1e85247809f2944c

Observation dc1f1033-3363-4401-a132-3161d4170a93 · outbound

This paper cites Stylesdf: High-resolution 3d-consistent image and geome- try generation.

Continual Learning of Personalized Generative Face Models with Experience Replay Stylesdf: High-resolution 3d-consistent image and geome- try generation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:09.023101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.477285Z digest=sha256:0819d35416c74363c7f6ff50bebf1e34505f267c330b1a9da74abf0d8f6c15d1

Observation ebf68f44-141b-413b-b6f0-f3aeaede6ee5 · outbound

This paper cites Styleclip: Text-driven manipulation of stylegan imagery.

Continual Learning of Personalized Generative Face Models with Experience Replay Styleclip: Text-driven manipulation of stylegan imagery

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.481501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.481501Z digest=sha256:1493ac99312ce746509925b6a415fc4f2f332b44fd1b8e112bb43ecc7d13b3bb

Observation a3c02790-3bb1-4fe9-9575-dd90f7b63a3b · outbound

This paper cites Gdumb: A simple approach that questions our progress in continual learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Gdumb: A simple approach that questions our progress in continual learning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.992921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.486640Z digest=sha256:7734a2e749dfafaad480fc87762de8ad3e5a421eb38939eb174bd23f60b75322

Observation 69a0cb1d-4432-4307-96eb-b3e5503b60d6 · outbound

This paper cites Wang, Shengze Wang, and Roni Sengupta.

Continual Learning of Personalized Generative Face Models with Experience Replay Wang, Shengze Wang, and Roni Sengupta

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.975309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.491743Z digest=sha256:b0dd74644367859752202695f0e34ee98444e85f5a9547cad64d741d52b33588

Observation 5c8ddc03-fcbe-492c-b20c-8d75aa7a5b54 · outbound

This paper cites icarl: Incremental classifier and representation learning.

Continual Learning of Personalized Generative Face Models with Experience Replay icarl: Incremental classifier and representation learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.497042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.497042Z digest=sha256:d7ff6c81c40d4cd5b2c9f209a10223c3e58a8b228047894ad818c1ec67490211

Observation d8299087-9eef-4932-827f-0e4c50cf8c62 · outbound

This paper cites Encoding in style: a stylegan encoder for image-to-image translation.

Continual Learning of Personalized Generative Face Models with Experience Replay Encoding in style: a stylegan encoder for image-to-image translation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.501713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.501713Z digest=sha256:142138e859fa9522b8d06da096b71a4972bde6f3aa216eaefdb83afbc4f48b4c

Observation a2e5f75b-3d94-4cce-b485-1299c690b0f1 · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

Continual Learning of Personalized Generative Face Models with Experience Replay Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.506355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.506355Z digest=sha256:05ff75b51d955064f3cfc398cd53a5aa541be1b88dec7f899f41a4185d7cc047

Observation 80875666-3d4d-4f2c-a128-ed34406f78ec · outbound

This paper cites Continual learning in reinforcement en- vironments.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual learning in reinforcement en- vironments

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.938405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.511501Z digest=sha256:eb3a1691464fad78da51f4e7e294940734c33dd9f068f0c3cebad355237c7c9b

Observation f13940e9-127c-4691-b258-8bd33a5ed841 · outbound

This paper cites Pivotal tuning for latent-based editing of real im- ages.

Continual Learning of Personalized Generative Face Models with Experience Replay Pivotal tuning for latent-based editing of real im- ages

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.516545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.516545Z digest=sha256:e1efed1e59aef0f25ec020351373f25ad6bf9d85ae7cfea8e52bf926db4390b9

Observation 3cfebd96-0a87-4884-83b7-201018187fd5 · outbound

This paper cites Continual learning of 3d point cloud gen- erators.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual learning of 3d point cloud gen- erators

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.912851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.521705Z digest=sha256:55af108d2b3f4274b35d0cb4e66b7d6bc8a4235da146249ee43356fb3ec57155

Observation 9c9e91e1-2277-4c77-b312-cfe5ac5ca69f · outbound

This paper cites Graf: Generative radiance fields for 3d-aware im- age synthesis.

Continual Learning of Personalized Generative Face Models with Experience Replay Graf: Generative radiance fields for 3d-aware im- age synthesis

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.895733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.526491Z digest=sha256:eda491c17e6b8b2340e852f90b536fbf3ba268cfbce3c1aa85431bd6801060ca

Observation 10ba2395-f760-4cd7-afb7-63ae490782b1 · outbound

This paper cites Continual Learning in Generative Adversarial Nets.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual Learning in Generative Adversarial Nets

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:19:08.626667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.530493Z digest=sha256:9a395947dd91332d1194d01cf98d37c8633a2036e7c4edf286b0390ed7247394

Observation f66f70aa-d64e-49b2-a6a8-d25f24ca264c · outbound

This paper cites A benchmark of facial recognition pipelines and co-usability performances of mod- ules.

Continual Learning of Personalized Generative Face Models with Experience Replay A benchmark of facial recognition pipelines and co-usability performances of mod- ules

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.878681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.534579Z digest=sha256:8ea4a4dda9801d364fe21a6df80b2c9dcccde879cff93d5011fc631f4b082d6e

Observation fc611046-30e9-4c34-94ae-6ee430c30725 · outbound

This paper cites In- terpreting the latent space of gans for semantic face editing.

Continual Learning of Personalized Generative Face Models with Experience Replay In- terpreting the latent space of gans for semantic face editing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.538847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.538847Z digest=sha256:bc9a20aedf0d162f013e80b8331cac90c312576238a4728440cddef9c61debec

Observation 802b8eb7-7bfd-40ba-8f48-cdf442845b8b · outbound

This paper cites Interfacegan: Interpreting the disentangled face representa- tion learned by gans.

Continual Learning of Personalized Generative Face Models with Experience Replay Interfacegan: Interpreting the disentangled face representa- tion learned by gans

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.849598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.543816Z digest=sha256:3b36110ce23b8fcc68198b3080f7dbc7dceb1d6c96c67de540ecbde23f6e5aa0

Observation 7a85db86-1c19-48d4-9946-3892535166bc · outbound

This paper cites Online class- incremental continual learning with adversarial shapley value.

Continual Learning of Personalized Generative Face Models with Experience Replay Online class- incremental continual learning with adversarial shapley value

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.831031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.549776Z digest=sha256:d513244bc6c7c46a69c12a9a1c7d62a46a55e20e7acc797b2cff8633adf2eba8

Observation 5e87d008-303c-49a1-859b-9712aa2cc16d · outbound

This paper cites Continual learning with deep generative replay.

Continual Learning of Personalized Generative Face Models with Experience Replay Continual learning with deep generative replay

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.814971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.553933Z digest=sha256:0788452bede1ece62901e39665b5938ed0a62b30c8fb6d16f6c6416a6b9d6317

Observation 47fee1ff-ba95-44d5-a53e-060c4395554f · outbound

This paper cites Few-shot class- incremental learning.

Continual Learning of Personalized Generative Face Models with Experience Replay Few-shot class- incremental learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.800047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.557918Z digest=sha256:376320f42693c88a87b8f52c94f40e96aa492454c1b8d6612db176c8a8ac73b5

Observation 93cab309-b867-4ad1-8516-982efdcabb52 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

Continual Learning of Personalized Generative Face Models with Experience Replay A comprehensive survey of continual learning: Theory, method and application

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.783268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.562767Z digest=sha256:f425f400fc161271e36faf1f576ed86fa8ca116a39ff745f28a29ad73b11b00c

Observation ca304d2e-a3f4-42ac-b2a2-ebb0bd7f30c1 · outbound

This paper cites Lifelong gan: Continual learn- ing for conditional image generation.

Continual Learning of Personalized Generative Face Models with Experience Replay Lifelong gan: Continual learn- ing for conditional image generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:19:08.766269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T23:19:08.567401Z digest=sha256:824e410e504428b045556ff9cf6e487bd7e98d69cba9e72014f5d061d12b13ee

Observation 245c240f-a6f8-4ceb-adbf-b7bcfd7ac572 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Continual Learning of Personalized Generative Face Models with Experience Replay The unreasonable effectiveness of deep features as a perceptual metric

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:19:08.572959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:19:08.572959Z digest=sha256:91f80ae0d41ddfe6efdd5f29a4212ecfbde239649089b0547d338775fca140f6

Pith citing papers

No inbound Pith citation observations are available.