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Paper Citation Record · LEDGER

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network

As of 7 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2607.07960.

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

pith.paper-citation-record.v1
2607.07960 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T14:42:17.580266Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

67 of 67 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ab406e8-80a0-44c5-8dc7-a6e758d95330 · outbound

This paper cites The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network The Wide Field Infrared Survey Telescope: 100 Hubbles for the 2020s

Reference 1

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Observation 664bc918-08d2-4463-957f-86e2dcab2eea · outbound

This paper cites D., Allende Prieto, C., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network D., Allende Prieto, C., et al

Reference 2

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Observation 7860eb7b-983d-4ac7-9cc5-995f86685d97 · outbound

This paper cites & Réfrégier, A.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Réfrégier, A

Reference 3

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Observation 702267d6-72f6-4af7-b1d5-dbc830600163 · outbound

This paper cites 1999, MNR AS, 310, 540.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 1999, MNR AS, 310, 540

Reference 4

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Observation 1e615995-f2ae-4b1c-8413-c642df9b289d · outbound

This paper cites an unresolved cited work.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Unresolved cited work

Reference 5

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Observation 42f8fb62-c9eb-4e6c-9da4-11c01bf2e4be · outbound

This paper cites Practical recommendations for gradient-based training of deep architectures.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Practical recommendations for gradient-based training of deep architectures

Reference 6

Resolution
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Observation c12eef55-22d5-43be-8518-d5e104cd551f · outbound

This paper cites 2000, A&A, 363, 476.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2000, A&A, 363, 476

Reference 7

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Observation fc4148c1-0422-4586-8810-5c8ed7a13dd8 · outbound

This paper cites 2015, MNRAS, 449, 1043.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2015, MNRAS, 449, 1043

Reference 8

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Observation c378ed37-d027-43da-b88b-0ad662980b62 · outbound

This paper cites J., & Amara, A.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network J., & Amara, A

Reference 9

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Observation 8f4bd610-3778-43c4-a53f-3fb61925a926 · outbound

This paper cites J., Almaini, O., Hartley, W.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network J., Almaini, O., Hartley, W

Reference 10

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Observation ad514f44-5d76-4d73-a084-44dac51d931e · outbound

This paper cites B., van Dokkum, P.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network B., van Dokkum, P

Reference 11

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Observation 77bbbdef-30a6-4fae-97ec-843583429a97 · outbound

This paper cites 2001, Machine Learning, 45, 5.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2001, Machine Learning, 45, 5

Reference 12

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Observation be382e89-e7b4-4d11-b920-40316ec4a8b6 · outbound

This paper cites 2018, MNRAS, 480, 2178 Carrasco Kind, M.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2018, MNRAS, 480, 2178 Carrasco Kind, M

Reference 13

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Observation 537cd1c9-9491-46b3-ae8a-21c1566d8c6b · outbound

This paper cites 2026, ApJS, 282, 46.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2026, ApJS, 282, 46

Reference 14

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Observation e0c7e14b-cf47-451e-a0af-ef4f5584b5b8 · outbound

This paper cites & Guestrin, C.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Guestrin, C

Reference 15

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Observation 9bcc6f6e-fbce-4190-b31c-4c87a55c4eb4 · outbound

This paper cites L., Blanton, M.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network L., Blanton, M

Reference 16

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Observation 628d836c-efc1-4843-8ca8-55b1b4751f4f · outbound

This paper cites J., Moustakas, J., Blanton, M.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network J., Moustakas, J., Blanton, M

Reference 17

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Observation c2d7fc00-49e8-4ff0-8516-ce07e2750eeb · outbound

This paper cites C., Aird, J.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network C., Aird, J

Reference 18

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Observation e7d5d8dc-0da6-448e-9817-0fa591da1b7c · outbound

This paper cites C., Gri ffith, R.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network C., Gri ffith, R

Reference 19

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Observation 18074399-f277-4720-82e6-5b4c83e5205d · outbound

This paper cites B., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network B., et al

Reference 20

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Observation d9108b39-e52d-43b5-b076-94b78e235170 · outbound

This paper cites M., Newman, J., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network M., Newman, J., et al

Reference 21

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Observation ca6fa6aa-80b2-4bea-8c67-e87e3037d361 · outbound

This paper cites an unresolved cited work.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Unresolved cited work

Reference 22

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Observation 3ebdb489-2337-45f4-8bfa-9b37b445253d · outbound

This paper cites GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning

Reference 23

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Observation 04bcaf51-8c57-4528-8eaa-714ed00c9caa · outbound

This paper cites J., Jurek, R.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network J., Jurek, R

Reference 24

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Observation d742ea2e-f3dd-454b-a405-377f6fc38f3a · outbound

This paper cites M., Porciani, C., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network M., Porciani, C., et al

Reference 25

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Observation c481326a-4bd5-4443-a8ef-94ce490f8872 · outbound

This paper cites & Paltani, S.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Paltani, S

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64a331cc-a888-4e87-b0c6-514b9fbfbe42 · outbound

This paper cites 2014, A&A, 562, A23.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2014, A&A, 562, A23

Reference 27

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Observation 4a3041fc-7e49-437f-90bd-14620dedfa0d · outbound

This paper cites L., Connolly, A.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network L., Connolly, A

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bc8498a5-008b-4aae-9dea-72cadfe75acd · outbound

This paper cites L., Connolly, A.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network L., Connolly, A

Reference 29

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Source-reported events for the cited work

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Observation 177eec60-ef40-4334-b3b7-a9c66d39318e · outbound

This paper cites M., Paech, K., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network M., Paech, K., et al

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation efac94c9-a5c5-4e82-9b9a-0421672c2865 · outbound

This paper cites an unresolved cited work.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Unresolved cited work

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9db9ecf7-660d-4f74-a259-d2ac211e1a7b · outbound

This paper cites 2006, MNRA S, 366, 101 Ivezi´c, Ž., Kahn, S.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2006, MNRA S, 366, 101 Ivezi´c, Ž., Kahn, S

Reference 32

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raw_fallback, observed 2026-07-10T14:47:14.824893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9b7c2d1d-e86e-4987-9eb2-52098e4250a1 · outbound

This paper cites 2024, ApJ, 964, 130.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2024, ApJ, 964, 130

Reference 33

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verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.830690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 866f9e57-8ffa-44ff-badd-05149c0e4d06 · outbound

This paper cites & Singal, J.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Singal, J

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.804220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:da11fce1b26ce302624b10e041de80d7bfa3b9a322744daf3fa70d8d4865e24f

Observation 7fe34c6c-6497-4eae-b971-075cb3da55fd · outbound

This paper cites & Singal, J.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Singal, J

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:ff5c375fd2018762804291cc0e8981e32199e739df74abf3b47733fd95c5b8d5

Observation d9ae04c5-5527-4606-b6af-f9366230885b · outbound

This paper cites A., Kartaltepe, J.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network A., Kartaltepe, J

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.842551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:741d6ca38cb01396a3674d3544adf90e771f2feb6c64e37fb45f3fddf475ff7d

Observation cf05d0d3-bbb6-40ce-86de-ddcdac49912e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Adam: A Method for Stochastic Optimization

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-07-10T14:47:14.516002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5fc3672d-0529-40df-9a1a-28fff5908cd4 · outbound

This paper cites D., Miller, L., Heymans, C.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network D., Miller, L., Heymans, C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.854622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:5bf51fb8340b7e4445d2f375d7b6073a3d224e0306d1f76de66836449f3d39d0

Observation 218b1b80-fa1f-4a1c-a1ce-bf3ee3e86b26 · outbound

This paper cites Euclid Definition Study Report.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Euclid Definition Study Report

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T14:47:14.511522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:e4189be7022fde59cb74e9300c651311e7a07656de1c689d0c22800c9c9a1942

Observation 60e92ef2-cf2d-43fa-9ea7-710f15755f11 · outbound

This paper cites & Hogg, D.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Hogg, D

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.847137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:dd7b3fee3d165c0c7751bd4b79d1663cc99ce6cb425868cbbc60d3d6aa1ad9fc

Observation 4e688078-4914-4743-b126-4c914bfc2663 · outbound

This paper cites J., Le Brun, V ., Maier, C., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network J., Le Brun, V ., Maier, C., et al

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.815984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:48eb40cc0bb7f7d9b6433cae84db3e270cf80328ea3e0c0a4fdd582628d77edc

Observation 6082a65f-3124-4f21-a6d1-f32da361cfa6 · outbound

This paper cites LSST Science Book, Version 2.0.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network LSST Science Book, Version 2.0

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-10T14:47:14.504366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:32796477e5b381e83f0deab22085bc319a3bbe2d3b446850bf3665b2e047da5c

Observation 9008cd4c-4561-49fb-af93-968b7a922cfb · outbound

This paper cites 2024, MNRAS, 527, 12140.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2024, MNRAS, 527, 12140

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.826395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:4271d5128a6868036063ed835cc1c786c1912abc83d341da76381efaf05930dd

Observation 4b89e955-202c-4c90-8f06-a13a57354dec · outbound

This paper cites 2006, ApJ, 636, 21.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2006, ApJ, 636, 21

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.802759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:1b0ff566e87d942a023e6866e442bf5a0149014fce8d76a6587fd97df2d3955b

Observation 6c38fccc-79a7-42c3-976e-81ae77151808 · outbound

This paper cites 2018, ARA&A, 56, 393.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2018, ARA&A, 56, 393

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.865407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:7457825815c9366106cc3aa370bce16812e2d896debd13851b19d4b3bdd682c7

Observation dce09741-ebfb-442d-8e8f-29356f7920fd · outbound

This paper cites J., Pearce, H.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network J., Pearce, H

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.788967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:6c90e427ddfc1d47644bbc2a63e7e17b9b607792e179ad7a2522186d64c51398

Observation 1d5b59ae-c1ce-4a04-ba1a-ff2edfc2d3ed · outbound

This paper cites G., Brammer, G.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network G., Brammer, G

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.787371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:cc29d8c19e42cda524abbea250795663b363398ca28e81e6ceb16c883c015cd9

Observation 4b2c42b8-2511-4436-aa5d-91869bdc4540 · outbound

This paper cites G., Palmese, A., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network G., Palmese, A., et al

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.790442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:7ee081564b70a7373bf1b32dba8ce0e871856d772a54c467ae0d04b87af21551

Observation 298f1716-fbf3-4c46-bae7-b016ab604388 · outbound

This paper cites A., Cooper, M.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network A., Cooper, M

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.791914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:307e85d566f9447925cdbc2257d8638dd312eaeeaa3d3b692233fe1caf73f892

Observation ee58f555-1ee6-4751-aefe-1303163ea886 · outbound

This paper cites an unresolved cited work.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-07-10T14:47:14.785746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:366118b91fbcc970b6c111eda59ca839b59c5dacfc93222fea7f16dd5c1bf126

Observation ae55a28c-9c11-467b-9791-a4dc40936cbf · outbound

This paper cites Photometric Redshifts for the Hyper Suprime-Cam Subaru Strategic Program Data Release 2.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Photometric Redshifts for the Hyper Suprime-Cam Subaru Strategic Program Data Release 2

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T14:47:14.518271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:5be4c381141a346c2990ca947a9cc818034f554d4293feb98f8ad5d3b87be616

Observation 09427f58-acf8-4862-8d23-b965a20efa0d · outbound

This paper cites 2019, A&A, 621, A26.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2019, A&A, 621, A26

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.793307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:8d5002f2632c6665a2ea0da99b3cafb63629ab43e5059afd9e53bbf5097f0df5

Observation abf3ec1f-dd6d-4eff-8f88-9cc289f2c6ae · outbound

This paper cites Uncertain Photometric Redshifts.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Uncertain Photometric Redshifts

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-10T14:47:14.499305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64106374-1fa0-45c4-9f81-86a2bbb0b99a · outbound

This paper cites M., Seitz, S., Brimioulle, F., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network M., Seitz, S., Brimioulle, F., et al

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Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.794924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d22beabb-0b4f-4874-b77b-425919faed63 · outbound

This paper cites B., & Lahav, O.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network B., & Lahav, O

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.798164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:7cbeef432bae92d9cfb3d9b3b77cf2f35daa8e81454eb54983561f5473f1e8a4

Observation d5837ae2-7b5d-47c2-8a4e-c53077647b25 · outbound

This paper cites an unresolved cited work.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-10T14:47:14.836595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ce3a9d27-da4c-42d6-add5-36f0f6554951 · outbound

This paper cites D., Kashino, D., Sanders, D., et al.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network D., Kashino, D., Sanders, D., et al

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.851637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:733d3e2572b4394d0bcd090aba665bc3f22d5bec35d49189078b28309aa76bc2

Observation 1e978c87-9a91-4484-80de-b9e13745e730 · outbound

This paper cites 2022, ApJ, 928, 6.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2022, ApJ, 928, 6

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.856064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:ffd477a829953b1adfbc3ed9837cce5ee2ce2910a8449432b680a6f4160526eb

Observation b8c7543c-796a-4622-88dc-7b0a91178776 · outbound

This paper cites E., Whitaker, K.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network E., Whitaker, K

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.863914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:2efd59f62fc82ced5a4811572256e53f49e13aa23e7dc4d456fa281f6c22b40b

Observation 61cf64bc-5a17-419a-b166-7bee8eff0aaf · outbound

This paper cites 2026, AJ, 171, 11 4.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2026, AJ, 171, 11 4

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.838027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:2848cc8ed5cc81e86ad8d2542010656809072a350b9a90da9454e6baedf59d7c

Observation abea5065-29b2-4ce2-946c-b48a30a5e1c4 · outbound

This paper cites Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation

Reference 61

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T14:47:14.501986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:83559a9cc31c4a3156161ceb14c91e68bc9cedcd7a8e0c0423dbd8576cd3c03b

Observation 1af1129f-eda2-4a08-a48e-7f028988ce18 · outbound

This paper cites 2018, PASJ, 70, S 9.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2018, PASJ, 70, S 9

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Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.861022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:ec96fc7cd3d3fe90eaac15dd498d2d8de5436d01aaad29d780eecd06c7691b71

Observation 888e9b7a-c5ed-48cf-935f-1bf860e9723c · outbound

This paper cites 2016, MNRAS, 457, 4005.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2016, MNRAS, 457, 4005

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.859172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:bb3a429b832b8f4475344615632291ef1ea43c37561f8eb1c4d10c40a74a9481

Observation 5ed506a9-a264-4715-8472-ee665cd95437 · outbound

This paper cites & Singal, J.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network & Singal, J

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.848523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:36d4a173715de682ba521d43eed67d3ff8f565c57df65e811c23d4f7c909b742

Observation 5d0951e6-1138-4eba-b1d9-4dea679b656a · outbound

This paper cites 2011, Scientia Sinica Physica, Mechanica & Astrono mica, 41, 1441.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2011, Scientia Sinica Physica, Mechanica & Astrono mica, 41, 1441

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.796683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:b2a1c63e3d1ca40f7df62adb74263353a3cf1f746a6f8ca9d1c8249e23f463a2

Observation 1b704966-0224-40ba-88c0-0b694621e5ab · outbound

This paper cites 2022, Research in Astr onomy and As- trophysics, 22, 115017.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2022, Research in Astr onomy and As- trophysics, 22, 115017

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.799712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:900bd607ddc074d39bef78ab07d585536067a0fe4e148c1c82e5b26f68793b7f

Observation d88f477a-7df2-410e-be3c-39c3c1ec4b02 · outbound

This paper cites 2021, ApJ, 909, 53 Article number, page 17.

Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network 2021, ApJ, 909, 53 Article number, page 17

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T14:47:14.801248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:42:17.580266Z digest=sha256:5bb5657b4f61d128ca1bfb83fd0a6b880b91f1098e78a37f568cb3dc7af620d4

Pith citing papers

No inbound Pith citation observations are available.